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Bernd Resch

Professor of Geosocial Artificial Intelligence

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Publications

TitleYear
Dynamic Named Entity Recognition model to distinguish authors’ positions relative to mentioned locations
2025
Helen Ngonidzashe Serere, Bernd Resch
Geomatica 77 (1), 100055
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Authors:Helen Ngonidzashe Serere, Bernd Resch
Publication date:07/01/2025
Journal:Geomatica
Volume:77
Issue:1
Pages:100055
Publisher:Elsevier
Description:When sending a tweet, Twitter authors refer either to their current locations (in-situ location) or to distant (remote locations). Although essential for several spatial analysis tasks, distinguishing between in-situ and remote location entities poses significant challenges due to the ambiguity of natural language, informal and unstructured tweets, and dynamic location entities. To address these challenges, we developed a Dynamic Named Entity Recognition (DNER) model to differentiate between the two types of location entities in Twitter data. We investigated three annotation approaches and set up an annotation guideline based on strict grammatical rules on a decision tree. Using our custom-trained DNER model, we validated the effectiveness of our model on a validation dataset representative of the most prominent Twitter sources. Although to a marginal extent, our results show the model's effectiveness in …
Resources:[HTML] from sciencedirect.com
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Moments of Stress in the City: A Novel Ecological Approach to Monitoring Urban and Digital Stressors
2025
Li Min Wang, Andrea Montanari, Martin Karl Moser, Noam Gal, Basile Chaix, Bernd Resch, …
Available at SSRN 5182258
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Authors:Li Min Wang, Andrea Montanari, Martin Karl Moser, Noam Gal, Basile Chaix, Bernd Resch, Amit Birenboim
Publication date:05/05/2025
Journal:Available at SSRN 5182258
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Emotionswahrnehmung für (E-) Fahrradsicherheit und Mobilitätskomfort: ESSEM Handlungsleitfaden
2025
David Agola, Maximilian Heinke, P Zeile, Nina Haug, Bernd Resch, Martin Moser, Martin S…
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Authors:David Agola, Maximilian Heinke, P Zeile, Nina Haug, Bernd Resch, Martin Moser, Martin Soutschek
Publication date:05/05/2025
Description:Für die flächendeckende Nutzung des (E-)Fahrrads ist das Sicherheitsempfinden der Radfahrenden maß-geblich. Dieses ist in Anbetracht der Beschaffenheit von Radinfrastrukturen und äußeren Einflüssen (z. B. Wetter, Luftqualität) oftmals nicht gegeben. Für eine ganzheitliche Betrachtung von Einflussfaktoren auf das Sicherheitsempfinden und den Mobilitätskomfort des Radfahrenden bedarf es neuer und daten-gestützter Ansätze. Übergeordnetes Ziel des Projektes ESSEM - Emotionswahrnehmung für (E-)Fahrradsicherheit und Mobili-tätskomfort ist es, einen Beitrag zur Steigerung von Sicherheit und Komfort für Radfahrende zu leisten. Hierzu werden im Rahmen des Projektes biostatistische Daten (Emotionswahrnehmung) erhoben und mit kontextuellen Daten verschnitten. Auf Grundlage der umfassenden Datenbasis können Verbesserungen für Radinfrastrukturen und Verkehrsmanagementsysteme …
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The impact of urban street green transformation on subjective well-being and evaluation of the location: A case study in Vienna, Austria
2025
Martin Moser, Bernd Resch
Environment and Social Psychology 9 (9)
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Authors:Martin Moser, Bernd Resch
Publication date:05/05/2025
Journal:Environment and Social Psychology
Volume:9
Issue:9
Description:Urban green landscapes, such as street-and ground-level greenery, are essential for urban populations, enabling frequent and spontaneous interactions with nature in cities. While many cities have increased their green infrastructure and landscapes, their impact on well-being and environmental evaluations needs to be studied more. In the present study, we conducted a field experiment that directly addressed this aspect. Specifically, on two urban streets in Vienna (Austria), we conducted the same structured field experiment during two different periods, during March and May/June in 2022, resulting in different levels of greenery in two urban streets. We aimed to study if and how varying quantities of greenery in urban street landscapes influence subjective well-being in terms of subjective feelings of stress and affective mood, as well as the restorative potential of the locations. Our results showed that, unlike the often-reported positive impact of urban green spaces, the varying amount of greenery on the streets did not positively affect the well-being or the restorative potential of the locations. The results highlight that simply implementing greenery might not be sufficient to induce positive effects. Instead, more intense and dense greenery would be necessary to achieve the desired outcomes.
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Satelliten-Tasking mithilfe von Geo-Social-Media-Monitoring
2025
Sebastian Schmidt, Bernd Resch
gis. Business 2024 (2), 52-53
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Authors:Sebastian Schmidt, Bernd Resch
Publication date:05/05/2025
Journal:gis. Business
Volume:2024
Issue:2
Pages:52-53
Publisher:Reed Business
Description:Satelliten-Tasking mithilfe von Geo-Social-Media-Monitoring — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Satelliten-Tasking mithilfe von Geo-Social-Media-Monitoring Sebastian Schmidt, Bernd Resch Geoinformatics Research output: Contribution to journal › Comment/debate Overview Original language German Pages (from-to) 52-53 Number of pages 2 Journal gis.Business Volume 2024 Issue number 2 Publication status Published - 2024 Fields of Science and Technology Classification 2012 211 Other Technical Sciences Other files and links Link to publication in Scopus Cite this APA Author BIBTEX Harvard …
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Geographic Information Extraction from Texts 2023
2025
Xuke Hu, Yingjie Hu, Bernd Resch, Jens Kersten
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Authors:Xuke Hu, Yingjie Hu, Bernd Resch, Jens Kersten
Publication date:05/05/2025
Publisher:CEUR Workshop Proceedings
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Künstliche Intelligenz im Katastrophenmanagement von der Forschung in die Einsatzpraxis
2025
Bernd Resch, Marc Wieland, Anton Holzer, Uwe Kippnich
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Authors:Bernd Resch, Marc Wieland, Anton Holzer, Uwe Kippnich
Publication date:05/05/2025
Description:Künstliche Intelligenz im Katastrophenmanagement von der Forschung in die Einsatzpraxis - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation Künstliche Intelligenz im Katastrophenmanagement von der Forschung in die Einsatzpraxis Bernd Resch, Marc Wieland, Anton Holzer, Uwe Kippnich Geoinformatics Research output: Contribution to conference › Paper › peer-review Overview Original language German Publication status Published - 2023 Event DCNA Fachtagung Katastrophenforschung - Duration: 11 Sept 2023 → 12 Sept 2023 Conference Conference DCNA Fachtagung …
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Katastrophenschutzübung in Salzburg: Neue Methoden und Technologien für Einsatzkräfte
2025
Marc Wieland, Bernd Resch, Uwe Kippnich, Anton Holzer, Raimund Görtler, Luisa Knoche, M…
Im Einsatz
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Authors:Marc Wieland, Bernd Resch, Uwe Kippnich, Anton Holzer, Raimund Görtler, Luisa Knoche, Maximilian Schmidt, Sebastian Schmidt, Lucas Dominik Angermann, Konstanze Lechner
Publication date:05/05/2025
Journal:Im Einsatz
Publisher:Verlag Stumpf & Kossendey GmbH
Description:Im Rahmen des AIFER Forschungsprojektes fand am Samstag, den 29.04.2023, unter gemeinsamer Leitung des Österreichischen und des Bayerischen Roten Kreuz sowie der Paris Lodron Universität Salzburg und dem Deutschen Zentrum für Luft- und Raumfahrt eine Katastrophenschutzübung (FEx Field Exercise) statt . Dabei wurde der Einsatz innovativer Entwicklungen und Technologien in einem nach der Dienstvorschrift 100 (DV 100) stabsdienstlich organisierten Lagezentrum anhand eines Hochwasserszenarios getestet und von Experten verschiedener Einsatzorganisationen und Behörden bewertet.
Resources:[PDF] from dlr.de
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Emotion Sensing for Bicycle Safety and Mobility Comfort Analysis of Human Sensor Measurements and Correlations with Contextual Parameters
2025
Nicolaj Motzer, Peter Zeile, Bernd Resch, Nina Haug, Céline Schmidt-Hamburger, Martin M…
AGIT-Journal fur Angewandte Geoinformatik 2023 (9), 142-149
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Authors:Nicolaj Motzer, Peter Zeile, Bernd Resch, Nina Haug, Céline Schmidt-Hamburger, Martin Moser, Frank Otte, Maximilian Heinke, Carolina Mazza, Mira Kern, Peter Klein
Publication date:05/05/2025
Journal:AGIT-Journal fur Angewandte Geoinformatik
Volume:2023
Issue:9
Pages:142-149
Description:When cycling, peoples safety perception influence whether they decide to use a bicycle. There are several factors that influence the perception of safety. Besides external factors, these include a lack of or poor cycling facilities that either offer too little space or protection. To quantify the perceived stress level while cycling, the research project ESSEM, funded by the Federal Ministry for Digital and Transport, starts with the collection of biostatistical data within an innovative approach. The data base offers potentials to determine implications for the optimization of cycling infrastructure, but also for product development and evaluation.
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A comparative study of geocoder performance on unstructured tweet locations
2025
Helen Ngonidzashe Serere, Umut Nefta Kanilmaz, Sruthi Ketineni, Bernd Resch
GI_Forum 2023, 11, 110-117
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Authors:Helen Ngonidzashe Serere, Umut Nefta Kanilmaz, Sruthi Ketineni, Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum 2023,
Volume:11
Pages:110-117
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:Geocoding is a process of converting human-readable addresses into latitude and longitude points. Whilst most geocoders tend to perform well on structured addresses, their performance drops significantly in the presence of unstructured addresses, such as locations written in informal language. In this paper, we make an extensive comparison of geocoder performance on unstructured location mentions within tweets. Using nine geocoders and a worldwide English-language Twitter dataset, we compare the geocoders’ recall, precision, consensus and bias values. As in previous similar studies, Google Maps showed the highest overall performance. However, with the exception of Google Maps, we found that geocoders which use open data have higher performance than those which do not. The open-data geocoders showed the least per-continent bias and the highest consensus with Google Maps. These results …
Cited by:2
Resources:[PDF] from academia.edu
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Syntactical Text Analysis to Disambiguate between Twitter Users’ In-situ and Remote Location.
2025
Helen Ngonidzashe Serere, Bernd Resch
, 23-28
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Authors:Helen Ngonidzashe Serere, Bernd Resch
Publication date:05/05/2025
Pages:23-28
Description:The precision of text-based location inference models, which aim to identify a tweets’ point of origin through analysing the post’s text, is strongly influenced by differing location mentions. This particularly concerns the description of remote locations, ie, locations that do not coincide with the user’s location when posting a tweet. To filter out remote location mentions
Cited by:1
Resources:[PDF] from ceur-ws.org
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A mixed methods approach for capturing interactions of cyclists with mobility space
2025
Martin Loidl, Christian Werner, Elisabeth Füssl, Florian Kratochwil, Bernd Resch
1st International Conference Hybrid Societies, Chemnitz, Germany, 15/03/23
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Authors:Martin Loidl, Christian Werner, Elisabeth Füssl, Florian Kratochwil, Bernd Resch
Publication date:05/05/2025
Journal:1st International Conference Hybrid Societies, Chemnitz, Germany, 15/03/23
Description:The physiological and cognitive load for cycling is high. A constant interaction with other road users, the environment, consisting of static and dynamic objects, is required while riding. In order to make cycling a pleasant and safe experience, it is of utmost importance to consider these interactions in providing adequate infrastructure and managing traffic accordingly. However, to do so successfully, the multiple layers of interaction, interdependencies and systemic relations have to be considered. This can hardly be done within a single domain. Thus, we propose an interdisciplinary mixed methods approach that facilitates domain-specific insights as well as an integrated, systemic understanding of cyclists’ interaction with mobility space.
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Deep Learning for Human Activity Recognition with Plantar Pressure and Movement Data from an Instrumented Smart Sock System
2025
Noah Zuchna, Bernd Resch, Stephan Odenwald
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Authors:Noah Zuchna, Bernd Resch, Stephan Odenwald
Publication date:05/05/2025
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Künstliche Intelligenz zur Analyse und Fusion von Erdbeobachtungs-und Internetdaten zur Entscheidungsunterstützung im Katastrophenschutz. Crisis Prevention
2025
Marc Wieland, Bernd Resch, Konstanze Lechner
Crisis Prevention 4
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Authors:Marc Wieland, Bernd Resch, Konstanze Lechner
Publication date:05/05/2025
Journal:Crisis Prevention
Volume:4
Publisher:Beta Verlag & Marketinggesellschaft mbH
Description:electronic library - Künstliche Intelligenz zur Analyse und Fusion von Erdbeobachtungs- und Internetdaten zur Entscheidungsunterstützung im Katastrophenschutz. Crisis Prevention elib DLR-Header DLR-Logo -> http://www.dlr.de DLR Portal Home | Impressum | Datenschutz | Kontakt | English Schriftgröße: [-] Text [+] Erweiterte Suche Versenden Drucken Künstliche Intelligenz zur Analyse und Fusion von Erdbeobachtungs- und Internetdaten zur Entscheidungsunterstützung im Katastrophenschutz. Crisis Prevention Wieland, Marc und Resch, Bernd und Lechner, Konstanze (2022) Künstliche Intelligenz zur Analyse und Fusion von Erdbeobachtungs- und Internetdaten zur Entscheidungsunterstützung im Katastrophenschutz. Crisis Prevention. Crisis Prevention, 4. Beta Verlag & Marketinggesellschaft mbH. ISSN 2198-0527. Dieses Archiv kann nicht den Volltext zur Verfügung stellen. Offizielle URL: https://crisis-…
Cited by:1
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Combining social media open source data with relevance analysis and expert knowledge to improve situational awareness in crisis and disaster management-concept
2025
Dražen Ignjatović, Daria Liakhovets, Rainer Simon, Georg Neubauer, Anita Graser, Mina S…
IDIMT-2022
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Authors:Dražen Ignjatović, Daria Liakhovets, Rainer Simon, Georg Neubauer, Anita Graser, Mina Schütz, Siegfried Vössner, Wolfgang Vorraber, Clemens Gutschi, Bernd Resch
Publication date:05/05/2025
Journal:IDIMT-2022
Description:Situational awareness is one of the most important factors for efficient and effective response in crisis and disaster situations. Up-to-date, valid and relevant data is one of the means to support crisis management actions, and the development and use of social media, as it is common nowadays, has become a very interesting research topic. In this paper, we describe a concept for using social media information and open source data in combination with expert knowledge and relevance assessment. The main problem with data collected from these sources is, on the one hand, the large amount and difficulty of processing, and on the other hand, the difficulty of determining its validity. This concept aims to address these two problems and combine the results to propose a solution for better situational awareness in crisis and disaster management. Situational awareness is one of the most important factors for efficient and effective response in crisis and disaster situations. Up-to-date, valid and relevant data is one of the means to support crisis management actions, and the development and use of social media, as it is common nowadays, has become a very interesting research topic. In this paper, we describe a concept for using social media information and open source data in combination with expert knowledge and relevance assessment. The main problem with data collected from these sources is, on the one hand, the large amount and difficulty of processing, and on the other hand, the difficulty of determining its validity. This concept aims to address these two problems and combine the results to propose a solution for better situational awareness …
Cited by:1
Resources:[PDF] from jku.at
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. Sci Adv. 2021
2025
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, FS Lu, P Huybers, B R…
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Authors:NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, FS Lu, P Huybers, B Resch, C Havas, A Petutschnig, J Davis, M Chinazzi, B Mustafa, WP Hanage, A Vespignani, M Santillanaet
Publication date:05/05/2025
Cited by:9
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An Augmented Reality Learning Environment for Informal Geoinformatics Education
2025
Josef Buchner, Peter Michael Jeremias, Nikola Kobzare, Lelia König, Sebastian Oberreite…
GI_Forum 2021, 9, 3-17
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Authors:Josef Buchner, Peter Michael Jeremias, Nikola Kobzare, Lelia König, Sebastian Oberreiter, Stefan Reiter, Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum 2021,
Volume:9
Pages:3-17
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:In this paper, we describe an interactive learning environment for geoinformatics enriched by Augmented Reality (AR) that was designed by researchers and practitioners using a design-based research approach. In total, four AR modules were developed to engage learners physically, cognitively and emotionally in the learning process. AR is thus used not merely as a visualization technology, but also to initiate and scaffold learning activities. To address the known challenges of learning with AR, we designed our learning environment to be used by teams of students. This can counteract the problem of cognitive overload, or frustration due to technical problems. We examined our technological and pedagogical framework in an evaluation with 12 learners. The results show that our design did not lead to cognitive overload; technological aspects, such as usability, were also evaluated positively. However, we also …
Cited by:4
Resources:[PDF] from uni-salzburg.at
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Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis
2025
Helen Ngonidzashe Serere, Bernd Resch, Clemens Rudolf Havas, Andreas Petutschnig
GI_Forum 2021, 9, 167-173
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Authors:Helen Ngonidzashe Serere, Bernd Resch, Clemens Rudolf Havas, Andreas Petutschnig
Publication date:05/05/2025
Journal:GI_Forum 2021,
Volume:9
Pages:167-173
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:Geo-social media have become an established data source for spatial analysis of geographic and social processes in various fields. However, only a small share of geo-social media data are explicitly georeferenced, which often compromises the reliability of the analysis results by excluding large volumes of data from the analysis. To increase the number of georeferenced tweets, inferred locations can be extracted from the texts of social media posts. We propose a customized workflow for location extraction from tweets and subsequent geocoding. We compare the results of two methods: DBpedia Spotlight (using linked Wikipedia entities), and spaCy combined with the geocoding methods of OpenStreetMap Nominatim. The results suggest that the workflow using spaCy and Nominatim identifies more locations than DBpedia Spotlight. For 50,616 tweets posted within California, USA, the granularity of the extracted …
Cited by:10
Resources:[PDF] from semanticscholar.org
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An Augmented Reality Learning Environment for Geoinformatics Education
2025
Josef Buchner, Peter Michael Jeremias, Nikola Kobzare, Lelia König, Sebastian Oberreite…
GI_Fourm Journal for Geographic Information Science
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Authors:Josef Buchner, Peter Michael Jeremias, Nikola Kobzare, Lelia König, Sebastian Oberreiter, Stefan Reiter, Bernd Resch
Publication date:05/05/2025
Journal:GI_Fourm Journal for Geographic Information Science
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Geographische Analysen von Social Media Daten
2025
Bernd Resch
gis. Business 2021 (3), 50-51
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Authors:Bernd Resch
Publication date:05/05/2025
Journal:gis. Business
Volume:2021
Issue:3
Pages:50-51
Publisher:Reed Business
Description:Geographische Analysen von Social Media Daten — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Geographische Analysen von Social Media Daten Bernd Resch Geoinformatics Research output: Contribution to journal › Article Overview Original language English Pages (from-to) 50-51 Number of pages 2 Journal gis.Business Volume 2021 Issue number 3 Publication status Published - 2021 Bibliographical note Copyright: Copyright 2021 Elsevier BV, All rights reserved. Fields of Science and Technology Classification 2012 107 Other Natural Sciences Other files and links Link to publication in Scopus Cite this APA …
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Comparing Twitter and LODES Data for Detecting Commuter Mobility Patterns
2025
Jochen Albrecht, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, Aleisha Wright
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Authors:Jochen Albrecht, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, Aleisha Wright
Publication date:05/05/2025
Description:Local and regional planners struggle to keep up with rapid changes in mobility patterns. This exploratory research is framed with the overarching goal of asking if and how geo-social network data (GSND), in this case, Twitter data, can be used to understand and explain commuting and non-commuting travel patterns. The research project set out to determine whether GSND may be used to augment US Census LODES data beyond commuting trips and whether it may serve as a short-term substitute for commuting trips. It turns out that the reverse is true and the common practice of employing LODES data to extrapolate to overall traffic demand is indeed justified. This means that expensive and rarely comprehensive surveys are now only needed to capture trip purposes. Regardless of trip purpose (eg, shopping, regular recreational activities, dropping kids at school), the LODES data is an excellent predictor of overall road segment loads.
Cited by:1
Resources:[PDF] from sjsu.edu
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Urban Emotions–Analyse von Emotionen für die Stadt von Morgen
2025
Bernd Resch
gis. Business 2021 (2), 48-49
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Authors:Bernd Resch
Publication date:05/05/2025
Journal:gis. Business
Volume:2021
Issue:2
Pages:48-49
Publisher:Reed Business
Description:Urban Emotions – Analyse von Emotionen für die Stadt von Morgen — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Urban Emotions – Analyse von Emotionen für die Stadt von Morgen Bernd Resch * * Corresponding author for this work Geoinformatics Research output: Contribution to journal › Article Overview Original language German Pages (from-to) 48-49 Number of pages 2 Journal gis.Business Volume 2021 Issue number 2 Publication status Published - 2021 Keywords Urban Emotions Smart City Urban Planning Wearables Human Sensing Fields of Science and Technology Classification 2012 211 Other …
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time.
2025
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen
arXiv preprint arXiv:2007.00756
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Authors:NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen
Publication date:05/05/2025
Journal:arXiv preprint arXiv:2007.00756
Cited by:2
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. ArXiv
2025
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, FS Lu, P Huybers, B R…
Preprint posted online July 3
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Authors:NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, FS Lu, P Huybers, B Resch, C Havas, A Petutschnig, J Davis, M Chinazzi, B Mustafa, WP Hanage, A Vespignani, M Santillana
Publication date:05/05/2025
Journal:Preprint posted online July
Volume:3
Cited by:5
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Menschliche Sensoren – Wearables und soziale Medien in der Mobilitätsplanung
2025
Bernd Resch
Geo-IT in Mobilität und Verkehr - Geoinformatik als Grundlage für moderne Verkehrsplanu…
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Authors:Bernd Resch
Publication date:05/05/2025
Journal:Geo-IT in Mobilität und Verkehr - Geoinformatik als Grundlage für moderne Verkehrsplanung und Mobilitätsmanagement
Pages:73-88
Publisher:Wichmann
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Exploratory Spatiotemporal Language Analysis of Geo-Social Network Data for Identifying Movements of Refugees
2025
Andreas Petutschnig, Clemens Rudolf Havas, Bernd Resch, Veronika Krieger, Cornelia Ferner
GI_Forum 1, 137-152
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Authors:Andreas Petutschnig, Clemens Rudolf Havas, Bernd Resch, Veronika Krieger, Cornelia Ferner
Publication date:05/05/2025
Journal:GI_Forum
Volume:1
Pages:137-152
Description:Refugee movements in recent years have caused enormous challenges for relief organizations and public authorities, but especially for refugees themselves. Organizations which have to allocate their resources to regions where large groups of arrivals are expected struggle to prepare the refugees’ admission, transfer, care and accommodation in time. Events like the refugee movement of 2015/16 in Austria and Germany in the wake of the Syrian civil war have shown that many of these issues are caused by a lack of up-to-date information about logistical requirements. We evaluate various methods to acquire this information that utilize semantic, spatial and temporal features to analyse geo-social network data. A multimodal analysis of these features leads to information about refugee movements across borders and regions. Approaches based on user trajectories and attempts to identify refugees by the language they used showed little promise, whereas using spatiotemporal aggregation and hotspot analysis of keyword-based filtered data allowed us to retrace refugees’ collective movement patterns. Using temporal bins, we were able to detect changes in these patterns caused by external factors such as border closures.
Cited by:10
Resources:[PDF] from semanticscholar.org
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Identifying Disaster Impacted Areas with Machine Learning and Geospatial Analysis Using Social Media Data
2025
Clemens Rudolf Havas, Bernd Resch
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Authors:Clemens Rudolf Havas, Bernd Resch
Publication date:05/05/2025
Description:Identifying disaster impacted areas with machine learning and geospatial analysis using social media data - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation Identifying disaster impacted areas with machine learning and geospatial analysis using social media data Clemens Rudolf Havas, Bernd Resch Geoinformatics Research output: Contribution to conference › Poster Overview Original language English Publication status Published - 2019 Fields of Science and Technology Classification 2012 105 Geosciences Other files and links https://aag.secure-abstracts.com/AAG%20Annual%20Meeting%…
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L’d Up: Examining the Effects of a New York City Metro Shutdown on Public Discourse Using Twitter Data
2025
Andreas Petutschnig, Bernd Resch, Jen Nelles, Laxmi Ramasubramanian
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Authors:Andreas Petutschnig, Bernd Resch, Jen Nelles, Laxmi Ramasubramanian
Publication date:05/05/2025
Publisher:Wien
Description:In 2016, announcements of a major renovation plan of the L train Metro line in New York City sparked intense discussion among commuters. In this study, we use Twitter data from 01/2016 – 04/2019, geolocated in New York City, to investigate the sentiment in the population towards topics related to different aspects of the shutdown. The results indicate the strongest sentiments towards alternative travel modes and the effects caused by the shutdown. We further show how the sentiments differ in their spatial clustering characteristics. Tweets conveying a negative sentiment toward the L train tend to cluster in lower Manhattan whereas positive and neutral hot spots are slightly less intense and spread out more evenly.
Resources:[PDF] from tuwien.at
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A Multi-National Human–Computer Interaction Evaluation of the Public Participatory GIS GeoCitizen
2025
Mona Bartling, Bernd Resch, Anton Eitzinger, Leo Zurita-Arthos
GI_Forum 2019 (1), 19-39
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Authors:Mona Bartling, Bernd Resch, Anton Eitzinger, Leo Zurita-Arthos
Publication date:05/05/2025
Journal:GI_Forum
Volume:2019
Issue:1
Pages:19-39
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:Designing user-friendly Public Participatory Geographic Information Systems (PPGIS) is a challenging task, since a PPGIS is typically used by users who have different characteristics and different requirements and needs. Hence, applying Human–Computer Interaction (HCI) principles is of particular importance in designing PPGIS. This study aims to create an inventory of usability aspects of a PPGIS by focusing on understanding the characteristics of a broad range of users. The usability study included 73 participants from Colombia, Uganda and Austria. We combined a custom qualitative survey (conducted in all three countries) with an eye-tracking based survey (conducted only in Austria). Considerable usability problems were faced especially by participants with low levels of IT-literacy. This was mostly due to a lack of experience in using functionally complex smartphone applications or interactive maps. In …
Cited by:13
Resources:[PDF] from researchgate.net
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Polish-German-Austrian Cross-border Cooperation: In the Field of Logistical Support for Rescue Operations in Natural Disaster Situations
2025
Beata Filipiak, Agnieszka Anna Majewska, Bernd Resch
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Authors:Beata Filipiak, Agnieszka Anna Majewska, Bernd Resch
Publication date:05/05/2025
Publisher:ISBN: 8380857429, Difin SA
Description:Polish-German-Austrian Cross-border Cooperation in the Field of Logistical Support for Rescue Operations in Natural Disaster Situations - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation Polish-German-Austrian Cross-border Cooperation in the Field of Logistical Support for Rescue Operations in Natural Disaster Situations Beata Filipiak (Editor), Agnieszka Majewska (Editor), Bernd Resch (Editor) Geoinformatics Research output: Book/Report/Legal commentary › Book › Research Overview Original language English Place of Publication Warsaw, Poland Publisher Difin ISBN (Print) 978-83-8085-742-1 …
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Part II: Empirical quantification of Polish-German and German-Austrian cooperation in the field of logistic security for rescue operations in case of natural disasters
2025
Krzysztof Dmytrów, Sebastian Majewski, Agnieszka Majewska, Clemens Havas, Bernd Resch
Polish-German-Austrian cross-border cooperation in the field of logistical support for …
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Authors:Krzysztof Dmytrów, Sebastian Majewski, Agnieszka Majewska, Clemens Havas, Bernd Resch
Publication date:05/05/2025
Journal:Polish-German-Austrian cross-border cooperation in the field of logistical support for rescue operations in natural disaster situations
Publisher:Difin
Description:Part II: Empirical quantification of Polish-German and German-Austrian cooperation in the field of logistic security for rescue operations in case of natural disasters - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation Part II: Empirical quantification of Polish-German and German-Austrian cooperation in the field of logistic security for rescue operations in case of natural disasters Krzysztof Dmytrów, Sebastian Majewski, Agnieszka Majewska, Clemens Havas, Bernd Resch Geoinformatics Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Chapter in Book › Research …
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Towards Geoprivacy Guidelines for ‘Sensitive’ Spatial Data and Analysis
2025
Ourania Kounadia, Bernd Resch
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Authors:Ourania Kounadia, Bernd Resch
Publication date:05/05/2025
Description:Research collections are at the heart of the research library, but in the digital age the nature of information resources and library collections are
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Combining Biosensing Technology and Virtual Environments for Improved Urban Planning
2025
Peter Zeile, Bernd Resch
GI_Forum - Journal for Geographic Information Science 2018 (1), 344-357
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Authors:Peter Zeile, Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum - Journal for Geographic Information Science
Volume:2018
Issue:1
Pages:344-357
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:The Urban Emotions initiative uses biosensing technology to determine how people feel in the city, which is of particular relevance for architecture and urban planning. While past experiments focused more on pedestrian or bicycle traffic, accessibility and wayfinding, this paper proposes the use of virtual models as a basis for human sensorial measurement. Virtual space offers the possibility of minimizing external (environmental) influences to focus on the evaluation of design impressions. Inspiration for the method was ‘Q-sorting’according to Stephenson (1953) and, in the context of urban planning, Krause (1974). Virtual models of real situations are used to determine whether test participants respond positively or negatively to the architecture or their environment. 360 videos, virtual reality ambience and VR glasses are used as output devices. In this virtual environment, it is possible to create standardized …
Cited by:18
Resources:[PDF] from researchgate.net
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Generating Big Spatial Data on Firm Innovation Activity from Text-Mined Firm Websites
2025
Jan Kinne, Bernd Resch
GI_Forum - Journal for Geographic Information Science 2018 (1), 82-89
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Authors:Jan Kinne, Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum - Journal for Geographic Information Science
Volume:2018
Issue:1
Pages:82-89
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:Innovation is one of the major drivers of economic growth, where spatial processes of knowledge spillover play a vital role. Current practices in assessing firms’ innovation activity, including patent analysis and questionnaires, suffer from severe limitations. In this paper, we propose a novel approach to estimate firms’ innovation activity based on the texts on their websites. We use an automated web-scraper to harvest text from the websites, then extract semantic topics in a self-learning, generative topic-modelling approach, and finally analyse these topics using an Artificial Neural Networks (ANN) method to assess each firm’s level of innovation. This procedure results in a large-scale dataset that will be used for further spatial economic analysis of the distribution of innovative firms and the processes that drive the development of innovation in firms.
Cited by:12
Resources:[PDF] from semanticscholar.org
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Public Perception of Climate Change in Alaska: A Case Study of Opinion-Mining using Twitter
2025
Helena Bergstedt, Alina Ristea, Bernd Resch, Annett Bartsch
GI_Forum - Journal for Geographic Information Science 2018 (1), 47-64
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Authors:Helena Bergstedt, Alina Ristea, Bernd Resch, Annett Bartsch
Publication date:05/05/2025
Journal:GI_Forum - Journal for Geographic Information Science
Volume:2018
Issue:1
Pages:47-64
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:The Arctic, and with it the State of Alaska, USA, is an area highly impacted by climate change. Changing environmental conditions have started to impact local communities, causing a need for changes ranging from new infrastructure to the relocation of entire towns. These changes connected to rising temperatures have been shown to affect people’s overall health, and their mental health in particular. Previous studies using opinion-mining and Twitter data have focused on large areas, not distinguishing between regions within countries. In the course of the research presented in this paper, we analysed Twitter data for the period 2013–2017, from which we extracted opinions concerning climate change topics by applying sentiment analysis (polarity and feelings) and climate change dictionaries, on a 10 x 10 km grid for the State of Alaska, USA. The number of climate change-relevant tweets was found to be much lower than reported in previous studies, where the USA was only considered in its entirety. After applying a topic-modelling approach, we found little difference between the spatial distributions of hotspots for the different climate change topics. A comparison with population data showed considerable biases towards English-speaking communities, tweets in indigenous languages being excluded when pre-defined dictionaries in English were used.
Cited by:4
Resources:[PDF] from researchgate.net
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# London2012: Towards citizen-contributed urban planning through sentiment analysis of twitter data
2025
Anna Kovacs-Gyori, Alina Ristea, Clemens Havas, Bernd Resch, Pablo Cabrera-Barona
Urban Planning 3 (1), 75-99
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Authors:Anna Kovacs-Gyori, Alina Ristea, Clemens Havas, Bernd Resch, Pablo Cabrera-Barona
Publication date:05/05/2025
Journal:Urban Planning
Volume:3
Issue:1
Pages:75-99
Publisher:PRT
Description:The dynamic nature of cities, understood as complex systems with a variety of concurring factors, poses significant challenges to urban analysis for supporting planning processes. This particularly applies to large urban events because their characteristics often contradict daily planning routines. Due to the availability of large amounts of data, social media offer the possibility for fine-scale spatial and temporal analysis in this context, especially regarding public emotions related to varied topics. Thus, this article proposes a combined approach for analyzing large sports events considering event days vs comparison days (before or after the event) and different user groups (residents vs visitors), as well as integrating sentiment analysis and topic extraction. Our results based on various analyses of tweets demonstrate that different spatial and temporal patterns can be identified, clearly distinguishing both residents and visitors, along with positive or negative sentiment. Furthermore, we could assign tweets to specific urban events or extract topics related to the transportation infrastructure. Although the results are potentially able to support urban planning processes of large events, the approach still shows some limitations including well-known biases in social media or shortcomings in identifying the user groups and in the topic modeling approach.
Cited by:54
Resources:[PDF] from ssoar.info
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Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis
2025
Lee Chapman, Bernd Resch, Jon Sadler, Stefan Zimmer, Helen Roberts, Andreas Petutschnig
Urban Planning 3 (1), 21-33
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Authors:Lee Chapman, Bernd Resch, Jon Sadler, Stefan Zimmer, Helen Roberts, Andreas Petutschnig
Publication date:05/05/2025
Journal:Urban Planning
Volume:3
Issue:1
Pages:21-33
Publisher:PRT
Description:In urban research, Twitter data have the potential to provide additional information about urban citizens, their activities, mobility patterns and emotion. Extracting the sentiment present in tweets is increasingly recognised as a valuable approach to gathering information on the mood, opinion and emotional responses of individuals in a variety of contexts. This article evaluates the potential of deriving emotional responses of individuals while they experience and interact with urban green space. A corpus of over 10,000 tweets relating to 60 urban green spaces in Birmingham, United Kingdom was analysed for positivity, negativity and specific emotions, using manual, semi-automated and automated methods of sentiment analysis and the outputs of each method compared. Similar numbers of tweets were annotated as positive/neutral/negative by all three methods; however, inter-method consistency in tweet assignment between the methods was low. A comparison of all three methods on the same corpus of tweets, using character emojis as an additional quality control, identifies a number of limitations associated with each approach. The results presented have implications for urban planners in terms of the choices available to identify and analyse the sentiment present in tweets, and the importance of choosing the most appropriate method. Future attempts to develop more reliable and accurate algorithms of sentiment analysis are needed and should focus on semi-automated methods.
Cited by:92
Resources:[PDF] from birmingham.ac.uk
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Analyzing and Predicting Micro-Location Patterns of Software Firms
2025
Jan Kinne, Bernd Resch
ISPRS International Journal of Geo-Information 7 (1), 1
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Authors:Jan Kinne, Bernd Resch
Publication date:05/05/2025
Journal:ISPRS International Journal of Geo-Information
Volume:7
Issue:1
Pages:1
Publisher:Multidisciplinary Digital Publishing Institute
Description:While the effects of non-geographic aggregation on statistical inference are well studied in economics, research on the effects of geographic aggregation on regression analysis is rather scarce. This knowledge gap, together with the use of aggregated spatial units in previous firm location studies, results in a lack of understanding of firm location determinants at the microgeographic level. Suitable data for microgeographic location analysis has become available only recently through the emergence of Volunteered Geographic Information (VGI), especially the OpenStreetMap (OSM) project, and the increasing availability of official (open) geodata. In this paper, we use a comprehensive dataset of three million street-level geocoded firm observations to explore the location pattern of software firms in an Exploratory Spatial Data Analysis (ESDA). Based on the ESDA results, we develop a software firm location prediction model using Poisson regression and OSM data. Our findings offer novel insights into the mode of operation of the Modifiable Areal Unit Problem (MAUP) in the context of a microgeographic location analysis: We find that non-aggregated data can be used to detect information on location determinants, which are superimposed when aggregated spatial units are analyzed, and that some findings of previous firm location studies are not robust at the microgeographic level. However, we also conclude that the lack of high-resolution geodata on socio-economic population characteristics causes systematic prediction errors, especially in cities with diverse and segregated populations.
Cited by:23
Resources:[HTML] from mdpi.com
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Combining Machine-learning Topic Models and Spatiotemporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment
2025
Bernd Resch, Florian Usländer, Clemens Havas
Cartography and Geographic Information Science 45 (4), 362-376
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Authors:Bernd Resch, Florian Usländer, Clemens Havas
Publication date:05/05/2025
Journal:Cartography and Geographic Information Science
Volume:45
Issue:4
Pages:362-376
Publisher:Taylor & Francis
Description:Current disaster management procedures to cope with human and economic losses and to manage a disaster’s aftermath suffer from a number of shortcomings like high temporal lags or limited temporal and spatial resolution. This paper presents an approach to analyze social media posts to assess the footprint of and the damage caused by natural disasters through combining machine-learning techniques (Latent Dirichlet Allocation) for semantic information extraction with spatial and temporal analysis (local spatial autocorrelation) for hot spot detection. Our results demonstrate that earthquake footprints can be reliably and accurately identified in our use case. More, a number of relevant semantic topics can be automatically identified without a priori knowledge, revealing clearly differing temporal and spatial signatures. Furthermore, we are able to generate a damage map that indicates where significant losses …
Cited by:269
Resources:[PDF] from tandfonline.com
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LernplattformGW – Learning about and with Geomedia. A Concept for Tutoring and an OER Platform for the Education of Student Teachers
2025
Alfons Koller, Josef Strobl, Bernd Resch
GI_Forum - Journal for Geographic Information Science (1-2017), 282-293
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Authors:Alfons Koller, Josef Strobl, Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum - Journal for Geographic Information Science
Issue:1-2017
Pages:282-293
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:The University of Salzburg has linked up ('clustered') with several other Austrian Higher Education Institutions (HEI) to develop and deliver the next generation of education for student teachers. Based on a reformed curriculum with a strong emphasis on pedagogical concepts and skills, courses have been developed with uniform structure and content across multiple institutions and locations. This step was considered of particular importance due to changes in students' backgrounds and career stages: an increasing number of future teachers are completing their training based on prior academic and professional experience while working (mostly) part-time. This offers the opportunity for more mature and experienced individuals to enter the teaching profession, but also challenges traditional organizational formats of teacher training. Based on an extensive survey of current students, this paper explores the range of …
Resources:[PDF] from uni-salzburg.at
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Deriving Hospital Catchment Areas from Mobile Phone Data
2025
Bernd Resch, Azmat Arif, Gautier Krings, Guillaume Vankeerberghen, Marc Buekenhout
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Authors:Bernd Resch, Azmat Arif, Gautier Krings, Guillaume Vankeerberghen, Marc Buekenhout
Publication date:05/05/2025
Cited by:5
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A Function-based Model of Place
2025
E Papadakis, B Resch, T Blaschke
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Authors:E Papadakis, B Resch, T Blaschke
Publication date:05/05/2025
Description:People assign context to space by defining places. Formalizing place enables digital systems to provide a human-centred representation of the geographical world. In this paper we propose a multi-dimensional definition of place including spatial properties, composition and functionality. These dimensions define place as a set of functions, which entail a spatial structure expressed in patterns of spatial descriptions. Relying on this model, it is possible to define places as space infused with functional context by converting geometries to interrelated components that support certain functions.
Cited by:13
Resources:[PDF] from escholarship.org
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How to Cross Open Spaces?
2025
Jakob Miksch, Stefan Hahmann, Bernd Resch, Johannes Lauer
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Authors:Jakob Miksch, Stefan Hahmann, Bernd Resch, Johannes Lauer
Publication date:05/05/2025
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Abundant Topological Outliers in Social Media Data and their Effect on Spatial Analysis
2025
Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
PloS one 11 (9)
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Authors:Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
Publication date:05/05/2025
Journal:PloS one
Volume:11
Issue:9
Publisher:Public Library of Science
Description:Twitter and related social media feeds have become valuable data sources to many fields of research. Numerous researchers have thereby used social media posts for spatial analysis, since many of them contain explicit geographic locations. However, despite its widespread use within applied research, a thorough understanding of the underlying spatial characteristics of these data is still lacking. In this paper, we investigate how topological outliers influence the outcomes of spatial analyses of social media data. These outliers appear when different users contribute heterogeneous information about different phenomena simultaneously from similar locations. As a consequence, various messages representing different spatial phenomena are captured closely to each other, and are at risk to be falsely related in a spatial analysis. Our results reveal indications for corresponding spurious effects when analyzing Twitter data. Further, we show how the outliers distort the range of outcomes of spatial analysis methods. This has significant influence on the power of spatial inferential techniques, and, more generally, on the validity and interpretability of spatial analysis results. We further investigate how the issues caused by topological outliers are composed in detail. We unveil that multiple disturbing effects are acting simultaneously and that these are related to the geographic scales of the involved overlapping patterns. Our results show that at some scale configurations, the disturbances added through overlap are more severe than at others. Further, their behavior turns into a volatile and almost chaotic fluctuation when the scales of the involved …
Cited by:25
Resources:[HTML] from plos.org
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Die Energiewende umsetzen
2025
Andreas Bachmaier, I Rühl, Sebastian Herkel, Sattaya Narmsara, H Gündra, M Rupp, B Tyrn…
Arc aktuell
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Authors:Andreas Bachmaier, I Rühl, Sebastian Herkel, Sattaya Narmsara, H Gündra, M Rupp, B Tyrna, T Törnros, B Resch
Publication date:05/05/2025
Journal:Arc aktuell
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Technical and Human Sensors
2025
Bernd Resch
GI_Forum, 2015, 513-513
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Authors:Bernd Resch
Publication date:05/05/2025
Journal:GI_Forum,
Volume:2015
Pages:513-513
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:The Journal for Geographic Information Science issue 1-2015 presents peer-reviewed papers presented at the Geoinformatics Forum (www. gi-forum. org), held in Salzburg from July 7-10, 2015. The annual GI_Forum symposium provides a platform for dialogue among geospatial minds in an ongoing effort to support the creation of an informed GISociety.
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Urban Emotions – An Interdisciplinary Interface Between Geoinformatics and Urban Planning
2025
B. (2015) Dörrzapf, L., Zeile, P., Sudmanns, M., Summa, A. and Resch
gis.SCIENCE 1 (2015), 11-19
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Authors:B. (2015) Dörrzapf, L., Zeile, P., Sudmanns, M., Summa, A. and Resch
Publication date:05/05/2025
Journal:gis.SCIENCE
Volume:1
Issue:2015
Pages:11-19
Publisher:Wichmann Verlag
Cited by:12
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Special Issue on GeoWeb 2.0
2025
A Zipf, B Resch
ISPRS Int. J. Geo-Inf
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Authors:A Zipf, B Resch
Publication date:05/05/2025
Journal:ISPRS Int. J. Geo-Inf
Cited by:2
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Usability in 4D AR: Visualising Multi-temporal Real-time Geo-data in Augmented Reality Environments
2025
Bernd Resch, Andreas Wichmann, Nicolas Goell
International Journal of Interactive Mobile Technologies 9 (4), 23-33
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Authors:Bernd Resch, Andreas Wichmann, Nicolas Goell
Publication date:05/05/2025
Journal:International Journal of Interactive Mobile Technologies
Volume:9
Issue:4
Pages:23-33
Description:Even though advantages of 3D visualisation of multi-temporal geo-data versus 2D approaches have been widely proven, the particular pertaining challenge of realtime visualisation of geo-data in mobile Digital Earth applications has not been thoroughly tackled so far. In the emerging field of Augmented Reality (AR), research needs comprise finding the optimal information density, the interplay between orientation data in the background and other information layers, using the appropriate graphical variables for display, or selecting real-time base data with adequate quality and suitable spatial accuracy. In this paper we present a concept for integrating real-time data into 4D (three spatial dimensions plus time) AR environments, ie, data with “high” spatial and temporal variations. We focus on three research challenges: 1.) high-performance integration of real-time data into AR; 2.) usability design in terms of displaying spatio-temporal developments and the interaction with the application; and 3.) design considerations regarding reality vs. virtuality, visualisation complexity and information density. We validated our approach in a prototypical application and extracted several limitations and future research areas including natural feature recognition, the cross-connection of (oftentimes monolithic) AR interface developments and well-established cartographic principles, or fostering the understanding of the temporal context in dynamic 4D Augmented Reality environments.
Cited by:12
Resources:[PDF] from uni-salzburg.at
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Crowdsourcing Physiological Conditions and Subjective Emotions by Coupling Technical and Human Mobile Sensors
2025
Bernd Resch, Martin Sudmanns, Günther Sagl, Anja Summa, Peter Zeile, Jan-Philipp Exner
GI_Forum
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Authors:Bernd Resch, Martin Sudmanns, Günther Sagl, Anja Summa, Peter Zeile, Jan-Philipp Exner
Publication date:05/05/2025
Journal:GI_Forum
Description:In contrast to previous approaches, Urban Emotions defines Smart Cities not only as technology-enriched cities, but also emphasises the human factor–Smart Citizens. This is due to the fact that the question of how people perceive a city and how they feel about it has always been important in urban planning and management. In this paper we present our approach for crowdsourcing physiological conditions and subjective emotions by combining data from technical sensors (measuring psycho-physiological parameters) and human sensors (“People as Sensors” contributing subjectively perceived emotions). Furthermore, we couple this crowdsourcing approach with a technical architecture to harmonise and integrate the sensor data via standardised service interfaces (Sensor Web Enablement–SWE) to allow for generic access for further analysis and visualisation. Finally, we discuss the use of emotion information in urban planning and point out related privacy issues together with a number of strategies to mitigate those.
Cited by:55
Resources:[PDF] from gispoint.de
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Urban Emotions – Tools of Integrating People’s Perception into Urban Planning
2025
Peter Zeile, Bernd Resch, Linda Dörrzapf, Jan-Philipp Exner, Günter Sagl, Anja Summa, M…
Schrenk, M., Popovich, V., Zeile, P., Elisei, P. and Beyer, C. (Eds.) REAL CORP 2015, 9…
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Authors:Peter Zeile, Bernd Resch, Linda Dörrzapf, Jan-Philipp Exner, Günter Sagl, Anja Summa, Martin Sudmanns
Publication date:05/05/2025
Journal:Schrenk, M., Popovich, V., Zeile, P., Elisei, P. and Beyer, C. (Eds.) REAL CORP 2015
Pages:907-914
Description:This paper introduces the research field “Urban Emotions” – an interdisciplinary approach combining not only spatial planning and (geo-) informatics, but also computer linguistics and sensor technology methods. A new set of methods will be formed for the area of urban and spatial planning, resulting in a fundamental change of the understanding of planning. One of the main objectives is the involvement of citizens into planning processes. Therefore, new techniques are developed to collect and analyse data on the emotional perception of space and provide it to the people and also planners. Not only the human perception in the context of the city, and the combination with human sensory processes are contents of this paper, but also the critical discussion of these effects to privacy issues. Based on the topics “mental maps” and psychogeography in combination with the field of digital emotional urban tagging, the potential of integrating objectively quantified emotions in the context of citizen participation will be explained. In the following, partly established and partly experimental methods for collecting and analysing “Urban Emotions” will be introduced. Based on two studies, the possibilities of transfering these methodsinto the planning praxis will be shown on the one hand and on the other hand the potential for further development for other disciplines will be more evident.
Cited by:58
Resources:[PDF] from corp.at
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Urban Emotions: Benefits and Risks in Using Human Sensory Assessment for the Extraction of Contextual Emotion Information in Urban Planning
2025
Peter Zeile, Bernd Resch, Jan-Philipp Exner, Günther Sagl
Geertman, S., Ferreira, J., Goodspeed, R. and Stillwell, J. (eds.) (2015) Planning Supp…
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Authors:Peter Zeile, Bernd Resch, Jan-Philipp Exner, Günther Sagl
Publication date:05/05/2025
Journal:Geertman, S., Ferreira, J., Goodspeed, R. and Stillwell, J. (eds.) (2015) Planning Support Systems and Smart Cities
Pages:209-225
Publisher:Springer International Publishing, Switzerland
Description:This chapter introduces the ‘Urban Emotions’ approach. It focuses on integrating humans’ emotional responses to the urban environment into planning processes. The approach is interdisciplinary and anthropocentric, i.e. citizens and citizens’ perceptions are highlighted in this concept. To detect these emotions/perceptions, it combines methods from spatial planning, geoinformatics and computer linguistics to give a better understanding of how people perceive and respond to static and dynamic urban contexts in both time and geographical space. For collecting and analyzing data on the emotional perception to urban space, we use technical and human sensors as well as georeferenced social media posts, and extract contextual emotion information from them. The resulting novel information layer provides an additional, citizen-centric perspective for urban planners. In …
Cited by:119
Resources:[PDF] from berndresch.com
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Uncovering Latent Mobility Patterns from Twitter during Mass Events
2025
Enrico Steiger, Timothy Ellersiek, Bernd Resch, Alexander Zipf
GI_Forum 2015 - Geospatial Minds for Society, pending
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Authors:Enrico Steiger, Timothy Ellersiek, Bernd Resch, Alexander Zipf
Publication date:05/05/2025
Journal:GI_Forum 2015 - Geospatial Minds for Society
Pages:pending
Publisher:Wichmann
Description:The investigation of human activity in location-based social networks such as Twitter is one promising example of exploring spatial structures in order to infer underlying mobility patterns. Previous work regarding Twitter analysis is mainly focused on the spatiotemporal classification of events. However, since the information about the occurrence of a general event can in many cases be considered as given, one identified research gap is the exploration of human spatial behavior within specific mass events to potentially characterize underlying, locally occurring mobility clusters. One key challenge is to explore whether this noisy biased dataset can be a reliable source for the knowledge discovery of human mobility during mass events. In this paper we therefore present an advanced methodologycal framework, including a generative semantic topic modeling and local spatial autocorrelation approach, to observe both spatiotemporal and semantic clusters during a major sports event in Boston in the US. Our results of the observed spatiotemporally and semantically clustered tweets within the selected case study area have shown the possibility of deriving intra-urban event related mobility patterns with similar spatiotemporal movement.
Cited by:11
Resources:[PDF] from gispoint.de
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A Local Scale-sensitive Indicator of Spatial Autocorrelation for Assessing High- and Low-value Clusters in Multi-scale Datasets
2025
Rene Westerholt, Bernd Resch, Alexander Zipf
International Journal of Geographical Information Science (IJGIS), DOI:10.1080/13658816…
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Authors:Rene Westerholt, Bernd Resch, Alexander Zipf
Publication date:05/05/2025
Journal:International Journal of Geographical Information Science (IJGIS)
Pages:DOI:10.1080/13658816.2014.1002499
Description:Georeferenced user-generated datasets like those extracted from Twitter are increasingly gaining the interest of spatial analysts. Such datasets oftentimes reflect a wide array of real-world phenomena. However, each of these phenomena takes place at a certain spatial scale. Therefore, user-generated datasets are of multiscale nature. Such datasets cannot be properly dealt with using the most common analysis methods, because these are typically designed for single-scale datasets where all observations are expected to reflect one single phenomenon (e.g., crime incidents). In this paper, we focus on the popular local G statistics. We propose a modified scale-sensitive version of a local G statistic. Furthermore, our approach comprises an alternative neighbourhood definition that enables to extract certain scales of interest. We compared our method with the original one on a real-world Twitter dataset. Our …
Cited by:38
Resources:[PDF] from warwick.ac.uk
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Urban Emotions – Geo-semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data
2025
Bernd Resch, Anja Summa, Günther Sagl, Peter Zeile, Jan-Philipp Exner
Progress in Location-Based Services 2014, 199-212
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Authors:Bernd Resch, Anja Summa, Günther Sagl, Peter Zeile, Jan-Philipp Exner
Publication date:05/05/2025
Journal:Progress in Location-Based Services 2014
Pages:199-212
Publisher:Springer International Publishing
Description:How people in the city perceive their surroundings depends on a variety of dynamic and static context factors such as road traffic, the feeling of safety, urban architecture, etc. Such subjective and context-dependent perceptions can trigger different emotions, which enable additional insights into the spatial and temporal configuration of urban structures. This paper presents the Urban Emotions concept that proposes a human-centred approach for extracting contextual emotional information from human and technical sensors. The methodology proposed in this paper consists of four steps: (1) detecting emotions using wristband sensors, (2) “ground-truthing” these measurements using a People as Sensors location-based service, (3) extracting emotion information from crowdsourced data like Twitter, and (4) correlating the measured and extracted emotions. Finally, the emotion information is mapped and fed …
Cited by:205
Resources:[PDF] from berndresch.com
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Geosensor networks: Bridging algorithms and applications (Dagstuhl seminar 13492)
2025
Matt Duckham, Stefan Dulman, Jörg-Rüdiger Sack, Monika Sester
Dagstuhl Reports 3 (12), 17-42
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Authors:Matt Duckham, Stefan Dulman, Jörg-Rüdiger Sack, Monika Sester
Publication date:05/05/2025
Journal:Dagstuhl Reports
Volume:3
Issue:12
Pages:17-42
Publisher:Schloss Dagstuhl–Leibniz-Zentrum für Informatik
Description:This report documents the program and the outcomes of Dagstuhl Seminar 13492" Geosensor Networks: Bridging Algorithms and Applications." New geosensor networks technologies have the potential to revolutionize the way we monitor and interact with the world around us. The objective of the seminar was to move closer to realizing this potential, by better connecting theoretical advances with practical applications and education. The Seminar ran from 1--6 December 2013, and brought together 21 participants from around the world, representing wide variety of disciplinary backgrounds and expertise connected with geosensor networks. While these discussions are continuing to develop and bear fruit, this report summarizes the results of the discussions held at the seminar.
Cited by:1
Resources:[PDF] from dagstuhl.de
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Erfahrungsbericht Crisis Mapping Zum Taifun Hayan
2025
ANDREAS Reimer, PASCAL Neis, MAXIM Rylov, A Schellhorn, GÜNTHER Sagl, B Resch, JP Albuq…
Gemeinsame Jahrestagung, Geoinformatik 2014
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Authors:ANDREAS Reimer, PASCAL Neis, MAXIM Rylov, A Schellhorn, GÜNTHER Sagl, B Resch, JP Albuquerque, A Zipf
Publication date:05/05/2025
Journal:Gemeinsame Jahrestagung, Geoinformatik 2014
Description:Beginnend mit Montag, dem 11.11. 2013, fanden am Geographischen Institut der Universität Heidelberg eine Vielzahl von Aktivitäten zur Unterstützung der Katastrophenhelfer und Crisis-Mapper in Abstimmung mit dem Humanitarian OSM Team (HOT), dem Roten Kreuz und dem Digital Humanitarian Network (DHN) statt. Die Aktivitäten umfassten das humanitäre Kartieren durch angeleitete Studenten und Freiwillige für OpenStreetMap, die Bereitstellung existierender Daten wie Bevölkerungsmodellen zB in Tile Map Services, die Analyse und Bereitstellung von Points of Interest (POI), die Sammlung und Einbindung von anderen VGI-Quellen wie Instagram sowie die Präsentation in einem Webclient.
Cited by:7
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Mobile Panorama-based Virtual Reality Capability for On-site Architectural and Urban Visualization
2025
Tomohiro Fukuda, Lei Sun, Bernd Resch
, 133-138
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Authors:Tomohiro Fukuda, Lei Sun, Bernd Resch
Publication date:05/05/2025
Pages:133-138
Description:Virtual Reality (VR) is now commonly used for visualizing 3D models in architectural and urban design fields (Al-Kodmany 2002, Vince 2004). Numerous previous studies on VR use focused on some design presentations (Caneparo 2001, Heldal 2007, Shen and Kawakami 2010) or test tools (Bishop and Gimblett 2000, Sussmann and Vanhegan 2000, Westerdahl et al. 2006) in a conference room. In contrast, for outdoor use, several studies which include both virtual and augmented reality have been reported (Azuma et al. 1999, Bruce and Wayne 2003, Chung et al. 2009). However, outdoor VR capability for field studies and on-site landscape simulations, etc. have not been extensively investigated so far for end-users. Therefore, in terms of practical utility for 3D visualization, printed media such as freehand drawings and photomontages have usually been employed for on-site use up to now. On the other hand, the …
Cited by:1
Resources:[PDF] from aij.or.jp
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Crowdsourcing Energy Data for Participatory Renewable Energy Planning and Modeling
2025
Günther Sagl, Bernd Resch, Anja Summa, Christoph Mayer, Sen Sun, Maria Minji Lee
, 247-260
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Authors:Günther Sagl, Bernd Resch, Anja Summa, Christoph Mayer, Sen Sun, Maria Minji Lee
Publication date:05/05/2025
Pages:247-260
Description:As renewable energy is increasingly fed into regional energy networks, they face significant additional spatial and temporal load fluctuations, making a reliable energy supply more difficult. This is particularly true in the context of varying weather conditions. Thus, diverse energy data on a building or household-level are essential for sustainable renewable energy planning and modeling. However, such data are hardly accessible–if existing at all–because they are mostly owned by private companies like energy providers or network operators. In this paper we tackle this challenge and propose a crowdsourcing approach to acquire fine-grained building and household-specific energy data. Further, we present a technical infrastructure which is based on (mobile) location-aware technologies. We focus on two complementary user interfaces for data acquisition, namely a web application and a smartphone app. The results demonstrate that crowdsourced building and household-specific energy data can support renewable energy planning and modeling processes.
Cited by:1
Resources:[PDF] from researchgate.net
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Mobile Phones as Ubiquitous Social and Environmental Geo-Sensors
2025
Günther Sagl, Bernd Resch
Encyclopedia of Mobile Phone Behavior, 1-3
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Authors:Günther Sagl, Bernd Resch
Publication date:05/05/2025
Journal:Encyclopedia of Mobile Phone Behavior, 1-3
Publisher:IGI Global, Hershey PA, USA
Description:Mobile and sensor-rich devices such as today's smartphones are increasingly leveraged as ubiquitous mobile geo-sensors that are able to sense their immediate surroundings on site in high spatial and temporal detail. Using those devices, the activity or mobility behavior of mobile phone users is being “sensed” since they leave behind digital traces of their whereabouts when using the mobile network—voluntarily or not. Additionally, people themselves can act as human sensors by providing subjective, geo-referenced “observations” in the form of individual perceptions of, eg, the weather, thereby complementing calibrated measurements from technical geo-sensor networks. Together with other user-generated and increasingly geo-referenced data and information from a variety of Web 2.0 and social media platforms, this results in vast volumes of geo-data that digitally reflect the dynamics of human behavior (eg …
Cited by:25
Resources:[PDF] from academia.edu
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Geo together| Geoinformatik verbindet
2025
B Resch, A Reimer
gis. Science: Die Zeitschrift für Geoinformatik (3), I
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Authors:B Resch, A Reimer
Publication date:05/05/2025
Journal:gis. Science: Die Zeitschrift für Geoinformatik
Issue:3
Pages:I
Publisher:Wichmann Verlag/VDE
Description:Geo together | Geoinformatik verbindet — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Geo together | Geoinformatik verbindet B. Resch, A. Reimer Geoinformatics Research output: Contribution to journal › Article Overview Original language German Pages (from-to) I Journal gis.Science: Die Zeitschrift für Geoinformatik Issue number 3 Publication status Published - 2013 Fields of Science and Technology Classification 2012 107 Other Natural Sciences 507 Human Geography, Regional Geography, Regional Planning Cite this APA Author BIBTEX Harvard Standard RIS Vancouver Paris-Lodron-University Salzburg …
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People as Sensors and Collective Sensing – Contextual Observations Complementing Geo-Sensor Network Measurements
2025
Bernd RESCH
Krisp, J.M. (2013) Lecture Notes in Geoinformation and Cartography - Progress in Locati…
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Authors:Bernd RESCH
Publication date:05/05/2025
Journal:Krisp, J.M. (2013) Lecture Notes in Geoinformation and Cartography - Progress in Location-Based Services, DOI: 10.1007/978-3-642-34203-5_22, 2013.
Volume:2013
Pages:391-406
Publisher:Springer-Verlag Berlin Heidelberg
Description:Ubiquitous sensor networks and Location-based Services can potentially assist in taking decisions in near real time in a variety of application areas such as public safety, traffic management, environmental monitoring or in public health. Yet, analysing our surroundings in real time is still a major challenge due to sparsely available data sources for real-time monitoring. The innovative concept of People as Sensors defines a measurement model, in which measurements are not only taken by calibrated hardware sensors, but in which also humans can contribute their individual ‘measurements’ such as their subjective sensations, current perceptions or personal observations. This chapter contains a disambiguation between the terms People as Sensors (people contributing subjective observations), Collective Sensing (analysing aggregated anonymised data coming from collective networks) and Citizen …
Cited by:186
Resources:[PDF] from berndresch.com
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Live Urbanism – Towards SENSEable Cities and Beyond
2025
B Resch, Rex Britter, Carlo Ratti
Sustainable Environmental Design in Architecture: Impact on Health 56, 175-184
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Authors:B Resch, Rex Britter, Carlo Ratti
Publication date:05/05/2025
Journal:Sustainable Environmental Design in Architecture: Impact on Health
Volume:56
Pages:175-184
Publisher:Springer
Description:In the context of ubiquitous information services, the city shall not only be seen as a place of social interactions, financial transactions, a network of technology nodes, a geographical agglomeration area or as a political landscape, but more as an actuated multidimensional conglomerate of heterogeneous processes, in which the citizens are the central component. In other words, the city can be regarded as a complex near real-time control system, creating a feedback loop between the city itself, the city management and the citizens, which is achieved by pervasive sensing.
Cited by:43
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Collective Sensing Sheds Light on Urban Sensing – Integrating Multiple Geospatial Technologies Gives Decision Makers a Deeper Perspective on Data-rich Urban Environments
2025
Thomas Blaschke, Bernd RESCH
Earth Imaging Journal 1112 (2012), 12-15
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Authors:Thomas Blaschke, Bernd RESCH
Publication date:05/05/2025
Journal:Earth Imaging Journal
Volume:1112
Issue:2012
Pages:12-15
Description:Collective Sensing Sheds Light on Urban Sensing - Integrating Multiple Geospatial Technologies Gives Decision Makers a Deeper Perspective on Data-rich Urban Environments — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Collective Sensing Sheds Light on Urban Sensing - Integrating Multiple Geospatial Technologies Gives Decision Makers a Deeper Perspective on Data-rich Urban Environments Thomas Blaschke, Bernd Resch Environment and Biodiversity Geoinformatics Research output: Contribution to journal › Article Overview Original language English Pages (from-to) 12-15 Journal Earth Imaging Journal …
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Live Geography: Standardised Geo-sensor Webs for Real-time Monitoring in Urban Environments
2025
Bernd RESCH
, 168
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Authors:Bernd RESCH
Publication date:05/05/2025
Pages:168
Publisher:Akademische Verlagsges.
Description:Live Geography - Standardised Geo-sensor Webs for Real-time Monitoring in Urban Environments — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Live Geography - Standardised Geo-sensor Webs for Real-time Monitoring in Urban Environments Bernd Resch Geoinformatics Research output: Book/Report/Legal commentary › Book › Research › peer-review Overview Original language English Place of Publication Heidelberg, Germany Publisher Akademische Verlagsgesellschaft AKA GmbH ISBN (Print) 978-3-89838-664-7 Publication status Published - 2012 Publication series Name Dissertations in Geographic …
Cited by:13
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Von Sensordaten zu Raumzeitlicher Umweltinformation als Web-Service: Konzeption, Implementierung und Validierung eines Vollautomatisierten Workflows
2025
Guenther Sagl, Manfred Atzl, Caroline, Mittlboeck, Sabine Adler, Bernd RESCH, Simo Luki…
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2012) Angewandte Geoinformatik 2012, 2…
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Authors:Guenther Sagl, Manfred Atzl, Caroline, Mittlboeck, Sabine Adler, Bernd RESCH, Simo Lukic, Michael Lippautz
Publication date:05/05/2025
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2012) Angewandte Geoinformatik 2012
Pages:276-282
Publisher:Wichmann Verlag, Heidelberg
Description:Die Bereitstellung von aktuellen Umweltdaten, insbesondere echtzeitnahe Sensormessdaten und deren raumzeitliche Analyseergebnisse, bilden die Basis für ein breites Spektrum von Anwendungsbereichen. Dieser Artikel beschreibt einen vollständig automatisierten Workflow der die gesamte Wertschöpfungskette von proprietären Sensormessungen hin zu raumzeitlichen Umweltinformationen mit einer modularen service-orientierten Infrastruktur abbildet. Ziel ist es die raumzeitliche Dynamik von Umweltparametern wie der z. B. Lufttemperatur in Form von „time-enabled “Web-Service an personalisierte Web-Clients und kontext-spezifische Anwendungen effektiv zu kommunizieren. Die Ergebnisse zeigen, dass der vorgestellte Workflow ein zeitnahes Monitoring der raumzeitlichen Entwicklung von Umweltparametern auf verschiedenen Web-Clients ermöglicht. Die Anwendungsbereiche reichen von der zeitkritischen Entscheidungsunterstützung im Notfallmanagement bis hin zur Darstellung aktueller wetterbestimmenden Umweltparameter auf mobilen Endgeräten.
Cited by:1
Resources:[PDF] from gispoint.de
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From Social Sensor Data to Collective Human Behaviour Patterns: Analysing and Visualising Spatio-Temporal Dynamics in Urban Environments
2025
Günther Sagl, Bernd RESCH, Bartosz Hawelka, Euro Beinat
GI-Forum 2012: Geovisualization, Society and Learning, 54-63
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Authors:Günther Sagl, Bernd RESCH, Bartosz Hawelka, Euro Beinat
Publication date:05/05/2025
Journal:GI-Forum 2012: Geovisualization, Society and Learning
Pages:54-63
Publisher:Wichmann
Description:The digital traces that people continuously leave behind–voluntarily or not–while using communication devices such as mobile phones or interacting with social media platforms reflect their behaviour in great detail. In this paper we show examples of the spatiotemporal patterns of collective human dynamics, which we derived from ‘social sensor’data. We used user-generated data in mobile networks and voluntarily published information at social media platforms, which both served as proxies for human activity and mobility. Results show collective human activity and mobility hotspots in selected European urban environments and thus provide additional insights into how collective social activity shape urban systems. We used different geo-visualisation techniques to effectively communicate the urban inherent spatial and temporal dynamics. Especially for education related purposes, this allows a better general understanding of collective human behaviour in urban environments.
Cited by:151
Resources:[PDF] from academia.edu
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People as sensors [People as sensonrs-Menschen als sensoren]
2025
B Resch
GIS-Business
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Authors:B Resch
Publication date:05/05/2025
Journal:GIS-Business
Publisher:ABC Verlag
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People as Sensors” by Means of Personalized Geo-Tracking; Applied Geoinformatics; Strobl, J
2025
Bernd Resch
Blaschke, T. & Griesebner, G.(Editors)
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Authors:Bernd Resch
Publication date:05/05/2025
Journal:Blaschke, T. & Griesebner, G.(Editors)
Cited by:2
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Leveraging standardized near ‘real-time’in-situ measurements in nature conservation areas
2025
M MITTLBÖCK, Bernd Resch, Thomas Blaschke, H FRANZ
SCHWERING, A., PEBESMA, E., BEHNCKE, K.(eds.) Geoinformatik 2011 Geochange, Aka-Verlag,…
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Authors:M MITTLBÖCK, Bernd Resch, Thomas Blaschke, H FRANZ
Publication date:05/05/2025
Journal:SCHWERING, A., PEBESMA, E., BEHNCKE, K.(eds.) Geoinformatik 2011 Geochange, Aka-Verlag, Heidelberg, 93-99
Description:Leveraging standardized near ‘real-time’in-situ measurements in nature conservation areas — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Leveraging standardized near ‘real-time’in-situ measurements in nature conservation areas MITTLBÖCK M, Bernd Resch, Thomas Blaschke, H FRANZ Environment and Biodiversity Geoinformatics Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Chapter in Book › Research › peer-review Overview Translated title of the contribution Leveraging standardized near ‘real-time’in-situ measurements in nature conservation areas Original language …
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People as Sensors – Kontextuelle Messinformation für Integrative Entscheidungsunterstützung
2025
Bernd RESCH
GISBusiness 7 (2011), 30-34
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Authors:Bernd RESCH
Publication date:05/05/2025
Journal:GISBusiness
Volume:7
Issue:2011
Pages:30-34
Description:People as sensors — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation People as Sensors - Kontextuelle Messinformation für Integrative Entscheidungsunterstützung Translated title of the contribution : People as sensors Bernd Resch * * Corresponding author for this work Geoinformatics Research output: Contribution to journal › Article Overview Translated title of the contribution People as sensors Original language German Pages (from-to) 30-34 Number of pages 5 Journal GIS-Business Issue number 7 Publication status Published - 1 Jan 2011 Fields of Science and Technology Classification 2012 211 Other Technical …
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Leveraging Standardized Near Real-time in-situ Sensor Measurements in Nature Conservation Areas
2025
Manfred Mittlboeck, Bernd RESCH, Thomas Blaschke, Helmut Franz
, 93-99
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Authors:Manfred Mittlboeck, Bernd RESCH, Thomas Blaschke, Helmut Franz
Publication date:05/05/2025
Pages:93-99
Publisher:AKA GmbH, Heidelberg, Germany
Description:This paper presents a standardized workflow from integrating, processing and presenting real-time in-situ sensor measurements in the Nature conservation application domain. Especially the integration of environmental phenomena like weather phenomena like, temperature, humidity, wind speed etc. into automated, SOA based distributed geographic information architecture allows for contextual provision of new domain specific ‘spatial knowledge” in understanding ongoing changes in an protected area like the National Park Berchtesgaden. Therefore the local climate measurements from weather stations in the national park area have been integrated via geo-enabled sensor networks utilizing OGC Sensor Web Enablement interface standards. New dynamic geographic knowledge can be derived when integrating, combining and presenting this real-time data with existing geographical layers mainly from hydrosphere lithosphere and biosphere domain. To achieve and verify this goal, a framework has been developed which utilizes recent OGC standardization achievements for sensor measurement integration and distributed geographical processing, analysis and visualization methods. Measured data from various sensor sources (text, database) are transformed on-the-fly into OGC Observations-& Measurements XML-structured data, accessible via a custom OGC Sensor Observation (OGC SOS) service. We present a workflow, modules and components which permit the near-real-time integration into GI systems.
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Standardisierte Geo-Sensor Webs für Bereichsübergreifende Echtzeit-Wasserwirtschaft
2025
Bernd RESCH, Manfred Mittlboeck
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Authors:Bernd RESCH, Manfred Mittlboeck
Publication date:05/05/2025
Description:Standardisierte Geo-Sensor Webs für Bereichsübergreifende Echtzeit-Wasserwirtschaft — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Standardisierte Geo-Sensor Webs für Bereichsübergreifende Echtzeit-Wasserwirtschaft Bernd Resch, Manfred Mittlboeck Geoinformatics Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution Overview Original language Undefined/Unknown Title of host publication GIS GDI in der Wasserwirtschaft. Kassel, Germany, 19-20 January 2011 Publication status Published - 2011 Fields of Science and Technology Classification 2012 …
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Standardised Geo-Sensor Webs for Integrated Urban Air Quality Monitoring
2025
RESCH Resch, Rex Britter, Christine Outram, Xiaoji Chen, Carlo Ratti
Ekundayo, E.O. (Ed.) (2011) Environmental Monitoring, InTech, ISBN 978-953-307-724-6, 5…
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Authors:RESCH Resch, Rex Britter, Christine Outram, Xiaoji Chen, Carlo Ratti
Publication date:05/05/2025
Journal:Ekundayo, E.O. (Ed.) (2011) Environmental Monitoring, InTech, ISBN 978-953-307-724-6
Pages:513-528
Publisher:InTech
Description:‘In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations. This skin is already being stitched together. It consists of millions of embedded electronic measuring devices: thermostats, pressure gauges, pollution detectors, cameras, microphones, glucose sensors, EKGs, electroencephalographs. These will probe and monitor cities and endangered species, the atmosphere, our ships, highways and fleets of trucks, our conversations, our bodies–even our dreams.’(Gross, 1999) Following this comprehensive vision by Neil Gross (1999), it can be assumed that sensor network deployments will increase dramatically within the coming years, as pervasive sensing has recently become feasible and affordable. This enriches knowledge about our environment with previously uncharted real-time information layers.
Cited by:14
Resources:[PDF] from mit.edu
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Web-Based Near Real-Time Geo-Analyses of Environmental Sensor Measurements
2025
Guenther Sagl, Michael Lippautz, Manfred Mittlboeck, Bernd RESCH, Thomas Blaschke
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Authors:Guenther Sagl, Michael Lippautz, Manfred Mittlboeck, Bernd RESCH, Thomas Blaschke
Publication date:05/05/2025
Description:This paper demonstrates two web-based applications for near real-time geo-analysis. Environmental sensor measurements are directly integrated in a fully service oriented workflow. Emphasis is put on rapid web-based dissemination of in-situ data (points) and their interpolation results (lines, polygons, or surface) for web clients such as Google Earth or common web-browsers. One aim of such applications is to enhance time-critical spatial decision support in crisis management.
Cited by:1
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GENESIS Employing Web Processing Services and Sensor Web Technology for Environmental Management
2025
Steven Smolders, Christian Alegre, Simone Gianfranceschi, Marc Gilles, Bernd RESCH, Tho…
14th AGILE International Conference on Graphic Information Science. Utrecht,(NL)
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Authors:Steven Smolders, Christian Alegre, Simone Gianfranceschi, Marc Gilles, Bernd RESCH, Thomas Everding
Publication date:05/05/2025
Journal:14th AGILE International Conference on Graphic Information Science. Utrecht,(NL)
Description:The GENESIS project aims at providing an efficient Web-based software solution for environmental management and health risk related services in Europe. The motivation for the work is to provide an extensive set of software components that facilitate the rapid deployment of complex distributed information systems where a wide variety of data sources are subject to an even wider variety of processing steps to obtain ready to use information products. The GENESIS software solution is validated on a number of real-life pilot applications. Inside the GENESIS project, it is put to practice within multiple pilots in both the Water and Air Quality thematic domains. In addition, GENESIS technology was employed inside the GEOSS Architecture Implementation Pilot Phase III initiative.
Cited by:5
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Integrated Geo-Sensing: A Case Study on the Relationships between Weather Conditions and Mobile Phone Usage in Northern Italy
2025
Günther Sagl, Euro Beinat, Bernd RESCH, Thomas Blaschke
29, 208-213
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Authors:Günther Sagl, Euro Beinat, Bernd RESCH, Thomas Blaschke
Publication date:05/05/2025
Volume:29
Pages:208-213
Cited by:12
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Preface: GEO processing 2010
2025
Petre Dini, Rifaat Abdalla, Victor Lobo, Patrick Maué, Bernd Resch, Bastian Schäffer, E…
2nd International Conference on Advanced Geographic Information Systems, Applications, …
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Authors:Petre Dini, Rifaat Abdalla, Victor Lobo, Patrick Maué, Bernd Resch, Bastian Schäffer, Eric B Wolf
Publication date:05/05/2025
Journal:2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010
Pages:8
Description:Preface: GEO processing 2010 — تخطي إلى التنقل الرئيسي تخطي إلى البحث تخطي إلى المحتوى الرئيسي الصفحة الرئيسية Logo المساعدة والأسئلة الشائعة English العربية الصفحة الرئيسية الوحدات البحثية الملفات الشخصية نتاج البحث المشاريع المعدات أنشطة مجموعات البيانات الصحافة / وسائل الإعلام الجوائز التأثيرات الدورات التدريبية البحث حسب الخبرة أو الاسم أو الانتماء Preface: GEO processing 2010 Petre Dini * , Rifaat Abdalla, Victor Lobo, Patrick Maué, Bernd Resch, Bastian Schäffer, Eric B. Wolf * المؤلف المقابل لهذا العمل Earth Science نتاج البحث: المساهمة في مجلة › Editorial › مراجعة النظراء معاينة اللغة الأصلية English رقم المقال 5437652 الصفحات (من إلى) 8 عدد الصفحات 1 دورية 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 المعرِّفات الرقمية للأشياء https://doi.org/10.1109/GEOProcessing.2010.5 حالة النشر Published - 2010 الحدث 2nd …
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Geosensornetzwerke-Echtzeitmessungen für Monitoring-und Informationssysteme.
2025
Bernd RESCH
HMD-Praxis Wirtschaftsinform. 276
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Authors:Bernd RESCH
Publication date:05/05/2025
Journal:HMD-Praxis Wirtschaftsinform.
Volume:276
Description:Bisher wurden Geosensornetzwerke meist in geschlossenen monolithischen Systemen aufgebaut, wodurch die Nutzung von Sensordaten über System- und Domänengrenzen hinweg im Sinne einer »digitalen Haut« für die Erde verhindert wurde. Deshalb werden zunehmend neue Ansätze verfolgt, die sich — im Unterschied zu herkömmlichen Sensornetzwerken — durch einenhohen Grad an Interoperabilität, Skalierbarkeit und Intelligenz auszeichnen. Als technisches Vehikel für die Erreichung dieser Vision wurde die Sensor Web Enablement- (SWE- )Initiative ins Leben gerufen, die zum Ziel hat, Sensoren über das Internet auffindbar, abfragbar und steuerbar zu machen. Solche interoperablen Mess- und Monitoring-Infrastrukturen eröffnen die Möglichkeit ubiquitärer Informationssysteme, indem Endbenutzern bisher unsichtbare Informationsebenen in naher Echtzeit zugänglich gemacht werden. Es …
Cited by:2
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Geo-sensor Web – Echtzeitmessungen für Ubiquitäre Monitoring-Systeme
2025
Bernd RESCH
HMD Journal Praxis der Wirtschaftsinformatik 276, 50-58
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Authors:Bernd RESCH
Publication date:05/05/2025
Journal:HMD Journal Praxis der Wirtschaftsinformatik
Volume:276
Pages:50-58
Description:Geo-sensor Web - Echtzeitmessungen für Ubiquitäre Monitoring-Systeme - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation Geo-sensor Web - Echtzeitmessungen für Ubiquitäre Monitoring-Systeme Bernd Resch Geoinformatics Research output: Contribution to journal › Article › peer-review Overview Original language German Pages (from-to) 50-58 Number of pages 9 Journal HMD Journal Praxis der Wirtschaftsinformatik Volume 276 DOIs https://doi.org/10.1007/BF03340531 Publication status Published - 2010 Fields of Science and Technology Classification 2012 211 Other Technical Sciences 102 …
Cited by:2
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GEOProcessing 2010 Preface
2025
Petre Dini, Rifaat Abdalla, Victor Lobo, Patrick Maué, Bernd RESCH, Bastian Schäffer, E…
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Authors:Petre Dini, Rifaat Abdalla, Victor Lobo, Patrick Maué, Bernd RESCH, Bastian Schäffer, Eric B Wolf
Publication date:05/05/2025
Publisher:IEEE
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Live Geography – Real-time Analyse mit GI-Systemen
2025
Manfred Mittlboeck, Bernd RESCH
GISBusiness 5 (2009), 36-39
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Authors:Manfred Mittlboeck, Bernd RESCH
Publication date:05/05/2025
Journal:GISBusiness
Volume:5
Issue:2009
Pages:36-39
Description:Live Geography - Real-time Analyse mit GI-Systemen — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Live Geography - Real-time Analyse mit GI-Systemen Manfred Mittlboeck, Bernd Resch Geoinformatics Research output: Contribution to journal › Article Overview Original language German Pages (from-to) 36-39 Number of pages 4 Journal GIS.Business - GeoBIT Volume 5 Issue number 2009 Publication status Published - 2009 Fields of Science and Technology Classification 2012 211 Other Technical Sciences 102 Computer Sciences 507 Human Geography, Regional Geography, Regional Planning Cite this APA …
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Standardisierte Embedded Sensormessnetze zur Integration Lokationsbezogener „Live” Information in GI-Systeme
2025
Manfred Mittlboeck, Bernd RESCH, Michael Lippautz, Martin Duerr, Manuel Kohlmann
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2009) Angewandte Geoinformatik 2009, 1…
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Authors:Manfred Mittlboeck, Bernd RESCH, Michael Lippautz, Martin Duerr, Manuel Kohlmann
Publication date:05/05/2025
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2009) Angewandte Geoinformatik 2009
Pages:178-183
Publisher:Wichmann Verlag, Heidelberg
Description:Etablierte GIS-Analysemethoden betrachten die Qualitätsmerkmale Genauigkeit und Vollständigkeit der zu Grunde liegenden Daten als Hauptkriterien für valide Datenverarbeitung. Der innovative Ansatz der „Live “-Integration legt darüber hinaus einen speziellen Fokus auf die Aktualität von Sensormessungen. Er basiert auf der breiten Verwendung neuer Standards der Sensor Web Enablement Initiative (OGC SWE) und der Einbindung von aktuellen Messwerten in GI-Systeme. Hierfür wurde ein Framework bestehend aus Hard-und Softwarekomponenten entwickelt, die es einerseits ermöglichen, mobile Messinformation von Embedded Sensing Devices über GPRS/UMTS Netzwerke zu übertragen und diese über Schnittstellen-Erweiterungen entweder direkt in GI-Systeme einzubinden, oder über eine automatisierte Konvertierung als standardisierte Vektorinformation (OGC WFS, KML, geoRSS etc.) bereitzustellen. Diese transparente Bereitstellung von Echtzeitmessdaten ist damit eine grundlegende Voraussetzung für real-time Analyse raum-zeitlich gegliederter Messdaten.
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Live Geography – Embedded Sensing for Standarised Urban Environmental Monitoring
2025
Bernd RESCH, Manfred Mittlboeck, Fabien Girardin, Rex Britter, Carlo Ratti
International Journal on Advances in Systems and Measurements 2 (2&3), 156-167
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Authors:Bernd RESCH, Manfred Mittlboeck, Fabien Girardin, Rex Britter, Carlo Ratti
Publication date:05/05/2025
Journal:International Journal on Advances in Systems and Measurements
Volume:2
Issue:2&3
Pages:156-167
Publisher:International Academy, Research and Industry
Description:Environmental monitoring faces a variety of complex technical and socio-political challenges, particularly in the urban context. Data sources may be available, but mostly not combinable because of lacking interoperability and deficient coordination due to monolithic and closed data infrastructures. In this work we present the Live Geography approach that seeks to tackle these challenges with an open sensing infrastructure for monitoring applications. Our system makes extensive use of open (geospatial) standards throughout the entire process chain – from sensor data integration to analysis, Complex Event Processing (CEP), alerting, and finally visualisation. We discuss the implemented modules as well as the overall created infrastructure as a whole. Finally, we show how the methodology can influence the city and its inhabitants by „making the abstract real“, in other words how pervasive environmental monitoring systems can change urban social interactions, and which issues are related to establishing such systems.
Cited by:65
Resources:[PDF] from mit.edu
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Federal Pervasive Sensor Networks Serving Geographic Information Services
2025
Manfred Mittlboeck, Bernd RESCH
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Authors:Manfred Mittlboeck, Bernd RESCH
Publication date:05/05/2025
Description:Meanwhile sensors are a vital part of our everyday’s lives. But due to the lack of standardizing their measurement output, its information can often not be fully leveraged. With the convergence of GIS and embedded technologies the context driven usage of spatial information anytime and anywhere is one of the major challenges in broad pervasive utilization of Geographic Information Systems (GIS). The purpose of this paper is to propose a solution for integrating federally organized mobile sensor networks into GI-software. The main contribution includes a prototype embedded device system architecture for federal organized sensor networks, software components (embedded web-services) serving standardized near real-time sensor information as well as connector components for GI-software to interface and analyze this information based on open standards. The mobile prototype infrastructure, which has been practically proven in several smaller research projects, will be fully implemented on a large scale case study in Bavaria including tests utilizing the GALILEO positioning signal and a project together with MIT.
Cited by:2
Resources:[PDF] from researchgate.net
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Standardisierte Integration von Real-time Sensormessungen für Zeitnahe GIS-Analyse
2025
Manfred Mittlboeck, Bernd RESCH
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2008) Angewandte Geoinformatik 2008, 1…
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Authors:Manfred Mittlboeck, Bernd RESCH
Publication date:05/05/2025
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2008) Angewandte Geoinformatik 2008
Pages:112-117
Publisher:Wichmann Verlag, Heidelberg
Description:Um möglichst aussagekräftige GI-Analysen durchführen zu können, müssen die zugrundeliegenden Datenebenen Qualitätskriterien bezüglich Genauigkeit, Vollständigkeit und Aktualität erfüllen. Während in den letzten Jahren durchwegs der Aufbau von Geodatenbeständen unter Berücksichtigung von Genauigkeit und Vollständigkeit im Vordergrund stand, wird zunehmend der Faktor Aktualität hinsichtlich der Durchführung nahzeitlicher Analysen immer bedeutender. Mit der transparenten Integration von OGC Sensor Web Enablement (SWE) Information über anerkannte OGC Schnittstellen für Vektor-und Rasterdienste, wird die Verwendung von Echtzeitmessinformation in bestehenden Softwaresystemen erheblich erleichtert und damit real-time GI-Analyse ermöglicht.
Cited by:4
Resources:[PDF] from berndresch.com
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Standardised Real-time Information Systems for Environmental Monitoring – An Elaborate Challenge
2025
Bernd RESCH
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Authors:Bernd RESCH
Publication date:05/05/2025
Description:Environmental monitoring requires the combination of various distributed and heterogeneous data sources. The situational awareness approach aims at replacing monolithic and often incompatible measurement systems by a service-based sensor infrastructure. The proposed openstandards-based method allows for the integration of different live and archived data sources, which are the basis of a direct assessment of environmental conditions. The aim is to provide a framework for the combination of local and distributed data to achieve situational awareness in near real-time by using GIS analysis methods on the server side. The methodology can be applied to different scenarios in the fields of environmental monitoring, natural hazard prediction, early warning systems or security-specific applications.
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Möglichkeiten und Grenzen der Fernerkundung für das Monitoring und Safeguarding informeller Siedlungen: Eine Synthese
2025
Thomas Blaschke, P Zeil, J Strobl, S Lang, D Tiede, M Möller, G Triebning, C Schiller, …
Von der Medizintechnik bis zur Planetenforschung_Photogrammetrie und Fernerkundung für …
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Authors:Thomas Blaschke, P Zeil, J Strobl, S Lang, D Tiede, M Möller, G Triebning, C Schiller, M Mittlböck, B RESCH
Publication date:05/05/2025
Journal:Von der Medizintechnik bis zur Planetenforschung_Photogrammetrie und Fernerkundung für das 21. Jahrhundert
Volume:16
Pages:361-374
Description:In den schnell wachsenden Städten Afrikas und Lateinamerikas nehmen informelle Siedlungen aufgrund verstärkter Migration in die Städte und fehlenden Steuerungsmechanismen zu. Den Siedlungen fehlt oft eine rechtliche Grundlage, die Wohnverhältnisse sind aufgrund begrenzter technischer und sozialer Infrastruktur, ungesunden Wohn-und Lebensverhältnissen oft katastrophal. Mehrere Fallbeispiele diskutieren die technischen Möglichkeiten und Grenzen der Fernerkundung und führen zu der Forderung ein Monitoringsystem für das Entstehen, das Wachstum und die Veränderungen aufzubauen, um Risikoanalysen und Bevölkerungsabschätzungen zu ermöglichen. Fernerkundung spielt dabei zweifellos eine unverzichtbare Rolle. In dieser Zusammenschau wird jedoch deutlich, dass Fernerkundung nur begrenzt und meist nur zusammen mit anderen Daten zur Analyse informeller Siedlungen geeignet ist. Während zB Townships in Südafrika als gut für das Fernerkundungsmonitoring geeignet gewertet werden, sind Favelas in Rio de Janeiro extrem schwierig abzugrenzen und zu kategorisieren. Diese und weitere Beispiele aus Afrika und Südamerika zeigen, dass die eigentlichen Probleme der Abgrenzung und der Klassifikation ontologisch und epistemologisch bedingt sind und weniger technischer Natur.
Cited by:1
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Einbindung von Echtzeitmessinformation in Geographische Informationssysteme
2025
Bernd RESCH, Manfred Mittlboeck
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2007) Angewandte Geoinformatik 2007, 6…
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Authors:Bernd RESCH, Manfred Mittlboeck
Publication date:05/05/2025
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2007) Angewandte Geoinformatik 2007
Pages:615-620
Publisher:Wichmann Verlag, Heidelberg
Description:Ziel des Forschungsprojektes „real-time geo-awareness “-GIS Modelling Framework (RTGA) ist die Integration von Echtzeit Sensormessinformation direkt bzw. aggregiert zu geographischen Informationsebenen für die Weiterverarbeitung und Analyse in einer verteilten GI Service-Infrastruktur bereitzustellen. Aufgrund der wachsenden Anzahl von Sensor-Web Installationen mit verschiedensten Konfigurationen und der Nutzung unterschiedlichster Protokolle besteht daher die Notwendigkeit eines universellen Zugangs zu diesen Messnetzwerken (MARCONETT 2006). Das Open Geospatial Consortium (OGC) entwickelte mit dem Sensor Obervation Service (SOS) im Rahmen der Sensor Web Enablemant Initiative (SWE) eine standardisierte Schnittstelle, die es ermöglicht, in „naher Echtzeit “georeferenzierte (stationär bzw. mobil) Messinformation in Geoinformationsund Analysesysteme über das Internet einzubinden. Entwickelt werden im Projekt RTGA Komponenten und Module eines standardisierten Sensornetzwerkes für die Erfassung, Verteilung, Visualisierung und serverbasierte Verarbeitung von aktueller Messinformation zu Geoinformationsebenen mit Hilfe räumlicher Interpolationsmethoden (IDW-und Krigingmethoden). In der Weiterverwendung werden diese Informationsebenen zusammen mit anderen lokalen und verteilten Geodatenbeständen in einer GI-Service Infrastruktur (GSI) genutzt, um modellbasierte Analysen und Geoprocessing-Verfahren in ‚naher Echtzeit’umzusetzen.
Cited by:4
Resources:[PDF] from berndresch.com
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World Geometry by Direction in N-D
2025
Josef Bigun, Bernd RESCH, Peter Romirer-Maierhofer
Vision with Direction - A Systematic Introduction to Image Processing and Computer Vision
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Authors:Josef Bigun, Bernd RESCH, Peter Romirer-Maierhofer
Publication date:05/05/2025
Journal:Vision with Direction - A Systematic Introduction to Image Processing and Computer Vision
Publisher:Springer, Berlin, Germany
Description:We assume that we have a perspective camera. This can be imagined as a box with a very small hole through which the light rays hit the image plane behind. For this reason the perspective camera is also called the pinhole camera. It is an ideal camera obscura of the kind that was carried on horses or on the back of the artist in the medieval age. The pinhole camera is illustrated in Fig. 13.1 with the image plane shown in green. First, we make some notational precisons. Points are represented by capital letters such as P, O, Q. Since the geometry of points and vectors between them in the ordinary Euclidean space E3 is discussed in this chapter, an alternative notation will be used for vector representation. Consequently, to represent a vector between the
Cited by:264
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geOpinion: Interaktives geo-Collaboration Framework – 3D-Visualisierung in Google Earth mit OGC WMS- und WFS- Diensten
2025
Manfred Mittlboeck, Bernd RESCH
Angewandte Geoinformatik 2006, 464-469
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Authors:Manfred Mittlboeck, Bernd RESCH
Publication date:05/05/2025
Journal:Angewandte Geoinformatik
Volume:2006
Pages:464-469
Publisher:Wichmann Verlag, Heidelberg
Description:geOpinion: Interaktives geo-Collaboration Framework - 3D-Visualisierung in Google Earth mit OGC WMS- und WFS- Diensten - Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Organisational units Projects Research output Datasets Press/Media Third Mission Activities Activities Prizes Search by expertise, name or affiliation geOpinion: Interaktives geo-Collaboration Framework - 3D-Visualisierung in Google Earth mit OGC WMS- und WFS- Diensten Manfred Mittlboeck, Bernd Resch Geoinformatics Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Chapter in Book › Research › peer-review Overview Original language Undefined/Unknown Title of host publication Angewandte Geoinformatik Publisher Wichmann …
Cited by:4
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geoCollaboration Framework – Interaktives GIS zur Entscheidungsunterstützung
2025
Manfred Mittlboeck, Bernd RESCH, Christoph Eibl
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Authors:Manfred Mittlboeck, Bernd RESCH, Christoph Eibl
Publication date:05/05/2025
Cited by:1
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Adressen Web-Service mit Java Web-Services Developing Framework und SOAP
2025
Bernd RESCH
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Authors:Bernd RESCH
Publication date:05/05/2025
Description:This project documents the result of the project Adressen Web-Service mit Java Web Services Developing Framework und SOAP, which originated as a result of the demand for a standardised exchange of addresses and coordinates, which is currently not realised in a Europe-wide extent. The main condition for the proposed concept was its implementation on the basis of SOAP, which should be used as the transport protocol for the application. The thesis first presents a web service, developed in the course of the project, which maps geographical positions defined by an x-and a y-coordinate to a postal address by performing a dynamic database search. Additionally to this principal application, several supplementary features have been implemented in order to bring the service one step closer to practical usability. Such extensions are eg a circumcircle search around a point, a Universal Unique Identifier (UUID) for user authentication, different tolerance mechanisms concerning the address input, a configuration file with pre-defined parameters for the database connection, values for the compass search etc. and numerous others. Furthermore, the whole web service is packed in a web application archive, which contains all files such as JSP files, servlets, HTML and XML files aso Thus, the service can be easily installed on any web server. The thesis concludes by giving an outlook to potential further developments to the web service by using the Web Service Description Language (WSDL) and the Universal Description, Discovery and Integration (UDDI) as well as by an integration of a coordinate transformation system.
Resources:[PDF] from berndresch.com
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Multimodal GeoAI: An integrated spatio-temporal topic-sentiment model for the analysis of geo-social media posts for disaster management
2025
David Hanny, Bernd Resch
International Journal of Applied Earth Observation and Geoinformation 139, 104540
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Authors:David Hanny, Bernd Resch
Publication date:05/01/2025
Journal:International Journal of Applied Earth Observation and Geoinformation
Volume:139
Pages:104540
Publisher:Elsevier
Description:The analysis of online communication on social networks has become a central research interest to improve disaster management. Especially geo-referenced textual posts have been investigated extensively using techniques from Geospatial Artificial Intelligence (GeoAI), topic modelling and sentiment analysis. However, workflows are traditionally sequential with independent processing steps, limiting their ability to capture interconnections between modalities and risking chains of dependencies. To overcome these limitations, we introduce an integrated GeoAI model called the Joint Spatio-Temporal Topic-Sentiment (JSTTS) model. Our proposed method combines semantic, sentiment, spatial and temporal knowledge into continuous feature vectors and is capable of computing geographically delineated sentiment-associated clusters of topics with meaningful location and temporal information. The properties of …
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Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response
2025
Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt, Gudrun Ringler, M…
International Journal of Disaster Risk Reduction 122, 105441
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Authors:Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt, Gudrun Ringler, Marc Wieland, Bernd Resch, Ben Wagner
Publication date:05/01/2025
Journal:International Journal of Disaster Risk Reduction
Volume:122
Pages:105441
Publisher:Elsevier
Description:During a disaster, the timely provision of customised and relevant data is of utmost importance. In the case of floods, data from remote sensing (satellite-based or airborne) is often used, but in recent years data from social media platforms has also been increasingly utilised. Focusing on these data sources, this study provides an in-depth assessment of requirements by emergency responders. Furthermore, the paper sheds light on the legal and ethical considerations that need to be taken into account during data collection and processing. A particular focus lies on the use of artificial intelligence (AI) for data analysis in disaster response. Topics such as privacy preservation and AI-informed decision making are highlighted throughout the paper. The investigation was carried out based on expert interviews with scientists, an extensive literature review, and workshops with emergency responders.
Cited by:1
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The Generative Revolution: AI Foundation Models in Geospatial Health – Applications, Challenges and Future Research
2025
Bernd Resch, Polychronis Kolokoussis, David Hanny, Maria Antonia Brovelli, Maged N Kame…
International Journal of Health Geographics 24, 6
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Authors:Bernd Resch, Polychronis Kolokoussis, David Hanny, Maria Antonia Brovelli, Maged N Kamel Boulos
Publication date:04/02/2025
Journal:International Journal of Health Geographics
Volume:24
Pages:6
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Urban Aedes aegypti suitability indicators: a study in Rio de Janeiro, Brazil
2025
Steffen Knoblauch, Rutendo T Mukaratirwa, Paulo FP Pimenta, Antônio A de A Rocha, Myat …
The Lancet Planetary Health 9 (4), e264-e273
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Authors:Steffen Knoblauch, Rutendo T Mukaratirwa, Paulo FP Pimenta, Antônio A de A Rocha, Myat Su Yin, Sukanya Randhawa, Sven Lautenbach, Annelies Wilder-Smith, Joacim Rocklöv, Oliver J Brady, Filip Biljecki, Peter Dambach, Thomas Jänisch, Bernd Resch, Peter Haddawy, Till Bärnighausen, Alexander Zipf
Publication date:04/01/2025
Journal:The Lancet Planetary Health
Volume:9
Issue:4
Pages:e264-e273
Publisher:Elsevier
Description:Background Controlling Aedes aegypti stands as the primary strategy in curtailing the global threat of vector-borne viral infections such as dengue fever, which is responsible for around 400 million infections and 40 000 fatalities annually. Effective interventions require a precise understanding of Ae aegypti spatiotemporal distribution and behaviour, particularly in urban settings where most infections occur. However, conventionally applied sample-based entomological surveillance systems often fail to capture the high spatial variability of Ae aegypti that can arise from heterogeneous urban landscapes and restricted Aedes flight range. Methods In this study, we aimed to address the challenge of capturing the spatial variability of Ae aegypti by leveraging emerging geospatial big data, including openly available satellite and street view imagery, to locate common Ae aegypti breeding habitats. These data enabled us to …
Cited by:1
Resources:[HTML] from thelancet.com
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Assessing the spatial accuracy of geocoding flood-related imagery using Vision Language Models
2025
Sebastian Schmidt, Eleonor Díaz Fragachan, Dorian Arifi, David Hanny, Bernd Resch
Spatial Information Research 33 (2), 1-17
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Authors:Sebastian Schmidt, Eleonor Díaz Fragachan, Dorian Arifi, David Hanny, Bernd Resch
Publication date:04/01/2025
Journal:Spatial Information Research
Volume:33
Issue:2
Pages:1-17
Publisher:Springer Nature Singapore
Description:While the capabilities of large language models and visual language models for various classification tasks have advanced significantly, their potential for location inference remains largely underexplored. Therefore, this study evaluates the performance of four prominent models—BLIP-2, LLaVA1. 6, OpenFlamingo, and GPT-4o—for geocoding flood-related images from Flickr. Model inferences are compared against the original photo locations and human-labelled assessments. Our findings reveal that GPT-4o achieves the highest spatial accuracy (median deviation of 89.12 km). OpenFlamingo geocodes the highest number of images (90.7%), albeit with fluctuating quality (median 408.35 km), while still outperforming the human annotators. LLaVA1. 6 geocodes only 18.9% of all images, while BLIP-2 exhibits the highest median deviation (1,781 km). We observe a spatial bias in our results, with inferences being …
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EmoGRACE: Aspect-based emotion analysis for social media data
2025
Christina Zorenböhmer, Sebastian Schmidt, Bernd Resch
arXiv preprint arXiv:2503.15133
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Authors:Christina Zorenböhmer, Sebastian Schmidt, Bernd Resch
Publication date:03/19/2025
Journal:arXiv preprint arXiv:2503.15133
Description:While sentiment analysis has advanced from sentence to aspect-level, i.e., the identification of concrete terms related to a sentiment, the equivalent field of Aspect-based Emotion Analysis (ABEA) is faced with dataset bottlenecks and the increased complexity of emotion classes in contrast to binary sentiments. This paper addresses these gaps, by generating a first ABEA training dataset, consisting of 2,621 English Tweets, and fine-tuning a BERT-based model for the ABEA sub-tasks of Aspect Term Extraction (ATE) and Aspect Emotion Classification (AEC). The dataset annotation process was based on the hierarchical emotion theory by Shaver et al. [1] and made use of group annotation and majority voting strategies to facilitate label consistency. The resulting dataset contained aspect-level emotion labels for Anger, Sadness, Happiness, Fear, and a None class. Using the new ABEA training dataset, the state-of-the-art ABSA model GRACE by Luo et al. [2] was fine-tuned for ABEA. The results reflected a performance plateau at an F1-score of 70.1% for ATE and 46.9% for joint ATE and AEC extraction. The limiting factors for model performance were broadly identified as the small training dataset size coupled with the increased task complexity, causing model overfitting and limited abilities to generalize well on new data.
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Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction
2025
Steffen Knoblauch, Julian Heidecke, Antônio A de A. Rocha, Paulo Filemon Paolucci Pimen…
Scientific reports 15 (1), 7994
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Authors:Steffen Knoblauch, Julian Heidecke, Antônio A de A. Rocha, Paulo Filemon Paolucci Pimenta, Marcel Reinmuth, Sven Lautenbach, Oliver J Brady, Thomas Jänisch, Bernd Resch, Filip Biljecki, Joacim Rocklöv, Annelies Wilder-Smith, Till Bärnighausen, Alexander Zipf
Publication date:03/07/2025
Journal:Scientific reports
Volume:15
Issue:1
Pages:7994
Publisher:Nature Publishing Group UK
Description:Cities are the hot spots for global dengue transmission. The increasing availability of human movement data obtained from mobile devices presents a substantial opportunity to address this prevailing public health challenge. Leveraging mobile phone data to guide vector control can be relevant for numerous mosquito-borne diseases, where the influence of human commuting patterns impacts not only the dissemination of pathogens but also the daytime exposure to vectors. This study utilizes hourly mobile phone records of approximately 3 million urban residents and daily dengue case counts at the address level, spanning 8 years (2015–2022), to evaluate the importance of modeling human-mosquito interactions at an hourly resolution in elucidating sub-neighborhood dengue occurrence in the municipality of Rio de Janeiro. The findings of this urban study demonstrate that integrating knowledge of Aedes biting …
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An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro
2025
David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Z…
Computational Urban Science 5 (1), 13
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Authors:David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha
Publication date:03/03/2025
Journal:Computational Urban Science
Volume:5
Issue:1
Pages:13
Publisher:Springer Nature Singapore
Description:The recent COVID-19 pandemic has underscored the need for effective public health interventions during infectious disease outbreaks. Understanding the spatiotemporal dynamics of urban human behaviour is essential for such responses. Crowd-sourced geo-data can be a valuable data source for this understanding. However, previous research often struggles with the complexity and heterogeneity of such data, facing challenges in the utilisation of multiple modalities and explainability. To address these challenges, we present a novel approach to identify and rank multimodal time series features derived from mobile phone and geo-social media data based on their association with COVID-19 infection rates in the municipality of Rio de Janeiro. Our analysis spans from April 6, 2020, to August 31, 2021, and integrates 59 time series features. We introduce a feature selection algorithm based on Chatterjee’s Xi …
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Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis
2025
Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Mar…
Big Earth Data, 1-23
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Authors:Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Martin Mühlbauer
Publication date:01/31/2025
Journal:Big Earth Data
Pages:1-23
Publisher:Taylor & Francis
Description:When a disaster emerges, timely acquisition of information is crucial for a rapid situation assessment. Although automation in the standard satellite-based emergency mapping workflow has been advanced, delays still occur at crucial steps. In order to speed up the provision of satellite-based crisis products to emergency managers, this paper proposes a geo-social media-based approach that detects disaster events based on the spatio-temporal analysis of georeferenced, disaster-related Tweets. The proposed methodology is validated on the basis of two use cases: wildfires in Chile and British Columbia. The results show the general ability of Twitter to forecast events several days in advance, at least for the Chile use case. However, there are large spatial differences, as there is a correlation between population density and the reliability of Twitter data. Consequently, only few meaningful alerts could be generated …
Cited by:1
Resources:[PDF] from tandfonline.com
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Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: An Observational Study
2025
Dorian Arifi, Bernd Resch, Mauricio Santillana, Weihe Wendy Guan, Steffen Knoblauch, Sv…
JMIR infodemiology 5 (1), e58539
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Authors:Dorian Arifi, Bernd Resch, Mauricio Santillana, Weihe Wendy Guan, Steffen Knoblauch, Sven Lautenbach, Thomas Jaenisch, Ivonne Morales, Clemens Havas
Publication date:01/30/2025
Journal:JMIR infodemiology
Volume:5
Issue:1
Pages:e58539
Publisher:JMIR Publications Inc., Toronto, Canada
Description:Background: The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises. However, previous studies on the early warning capabilities of geosocial media data have largely been constrained by coarse spatial resolutions or short temporal scopes, with limited understanding of how local political beliefs may influence these capabilities. Objective: This study aimed to assess how the epidemiological early warning capabilities of geosocial media posts for COVID-19 vary over time and across US counties with differing political beliefs. Methods: We classified US counties into 3 political clusters, democrat, republican, and swing counties, based on voting data from the last 6 federal election cycles. In these clusters, we analyzed the early warning capabilities of geosocial media posts across 6 consecutive COVID-19 waves (February 2020-April 2022). We specifically examined the temporal lag between geosocial media signals and surges in COVID-19 cases, measuring both the number of days by which the geosocial media signals preceded the …
Cited by:1
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Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floods
2025
Marc Wieland, Sebastian Schmidt, Bernd Resch, Andreas Abecker, Sandro Martinis
Natural Hazards, 1-28
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Authors:Marc Wieland, Sebastian Schmidt, Bernd Resch, Andreas Abecker, Sandro Martinis
Publication date:01/22/2025
Journal:Natural Hazards
Pages:1-28
Publisher:Springer Netherlands
Description:Efficiently managing complex disasters relies on having a comprehensive understanding of the situation at hand. Immediately after a disaster strikes, it is crucial to quickly identify the most impacted areas to guide rapid response efforts and prioritise resource allocation effectively. Utilising early-stage estimations of impacted regions, derived from indicators such as building distribution, hazard zones or geo-social media reports, can aid in planning data collection initiatives to enhance situational awareness. Consequently, there is a need to improve the availability and accuracy of early-stage impact indicators and to integrate them into a coherent spatial and temporal analysis framework that enables identification of disaster-affected areas. In this study, a method is proposed that is tailored to quickly identifying disaster hotspots, especially in situations where detailed damage assessments or very high-resolution …
Cited by:1
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Tracing online flood conversations across borders: A watershed level analysis of geo-social media topics during the 2021 European flood
2024
Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, Bernd Resch
EGUsphere 2024, 1-29
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Authors:Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, Bernd Resch
Publication date:12/12/2024
Journal:EGUsphere
Volume:2024
Pages:1-29
Publisher:Copernicus Publications
Description:In the face of rapid population growth, urbanisation, and accelerating climate change, the need for rapid and accurate disaster detection has become critical to minimising human and material losses. In this context, geo-social media data has proven to be a sensible data source for tracing disaster-related conversations, especially during flood events. However, current research often neglects the relationship between information from social media posts and their corresponding geographical context. In this paper, we examine the emergence of disaster-related social media topics in relation with hydrological and socio-environmental features on watershed level during the 2021 Western European flood, while focusing on transboundary river basins. Building upon an advanced machine learning-based topic modelling approach, we show the emergence of flood-related geo-social media topics both in river-basin specific and cross-basin contexts. Our analysis reveals distinct spatio-temporal dynamics in the public discourse, showing that timely topics describing heavy rains or flood damages were closely tied to immediate environmental conditions in upstream areas, while post-disaster topics about helping victims or volunteering were more prevalent in less affected areas located in both upstream and downstream areas. These findings highlight how social media responses to disasters differ spatially across watersheds and underscore the importance of integrating geo-social media analysis into disaster coordination efforts, opening new opportunities for transboundary collaborations and the coordination of emergency response along border-crossing …
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Exploring the influence of urban art interventions on attraction and wellbeing: an empirical field experiment
2024
Margot Dehove, Jan Mikuni, Nikita Podolin, Martin Karl Moser, Bernd Resch, Linda Doerrz…
Frontiers in Psychology 15, 1409086
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Authors:Margot Dehove, Jan Mikuni, Nikita Podolin, Martin Karl Moser, Bernd Resch, Linda Doerrzapf, Pia Marlena Boehm, Katharina Prager, Helmut Leder, Elisabeth Oberzaucher
Publication date:12/05/2024
Journal:Frontiers in Psychology
Volume:15
Pages:1409086
Publisher:Frontiers Media SA
Description:While cities are attractive places, brimming with opportunities and possibilities for their inhabitants, they have also been found to have negative consequences, especially on physical and mental health. In a world of ever-growing urban populations, it is important to understand how to make cities healthier and more pleasant places to live. In the present study, we investigated the impact of art as an urban intervention and compared it to the well-known effects of greenery (i.e., plants and vegetation) in an identically framed intervention. Specifically, we looked at how people engage with a Graetzloase (a type of parklet) and its embedding urban environment in terms of visual and spatial attraction as well as wellbeing. The Graetzloase displayed either abstract art or greenery and was placed on two distinct streets that, among other elements, also contained art and greenery. Our field study captured the ongoing experiences during people’s exploration of the urban environment by employing mobile eye-trackers and physiological devices. While our findings demonstrated a certain level of visual and spatial attraction towards the Graetzloases, it was not as pronounced as initially anticipated. Nevertheless, our analyses still inform on What decorating element should be placed in a Graetzloase, as well as Where to implement the Graetzloase. Our results suggest that artistic elements are more visually attractive (i.e., they were looked at for longer times) than the greenery, and that both visual and spatial attraction towards the Graetzloases are greatly impacted by the street context. We found that the Art Graetzloase when displayed in a wide street containing …
Cited by:1
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Art in the city reduces the feeling of anxiety, stress, and negative mood: a field study examining the impact of artistic intervention in urban public space on well-being
2024
Jan Mikuni, Margot Dehove, Linda Dörrzapf, Martin Karl Moser, Bernd Resch, Pia Böhm, Ka…
Wellbeing, space and society 7, 100215
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Authors:Jan Mikuni, Margot Dehove, Linda Dörrzapf, Martin Karl Moser, Bernd Resch, Pia Böhm, Katharina Prager, Nikita Podolin, Elisabeth Oberzaucher, Helmut Leder
Publication date:12/01/2024
Journal:Wellbeing, space and society
Volume:7
Pages:100215
Publisher:Elsevier
Description:Promoting urban well-being is a significant societal task in the context of rapid urbanization. Past research has highlighted that interaction with urban green spaces, such as parks and forests, is key in promoting urban well-being. However, there is limited knowledge regarding the potential in promoting well-being from non-nature elements. In the present study, we explored whether interacting with art could enhance well-being in urban street contexts. In our field experiment, we built two interventions on urban streets, decorating them with either laminated art prints or green elements. We measured subjective and physiological well-being before and after the interaction with the interventions. With this paradigm, we assessed if, not only green, but also artistic interventions can improve well-being. Our results showed that, after interacting with the artistic intervention in an urban environment, the participants reported …
Cited by:9
Resources:[HTML] from sciencedirect.com
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Long-term Validation of Inner-urban Mobility Metrics Derived from Twitter/X
2024
Steffen Knoblauch, Simon Groß, Sven Lautenbach, Antonio Augusto de Aragão Rocha, Marta …
Environment and Planning B: Urban Analytics and City Science, 23998083241278275
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Authors:Steffen Knoblauch, Simon Groß, Sven Lautenbach, Antonio Augusto de Aragão Rocha, Marta C González, Bernd Resch, Dorian Arifi, Thomas Jänisch, Ivonne Morales, Alexander Zipf
Publication date:10/14/2024
Journal:Environment and Planning B: Urban Analytics and City Science
Pages:23998083241278275
Publisher:SAGE Publications
Description:Urban mobility analysis using Twitter as a proxy has gained significant attention in various application fields; however, long-term validation studies are scarce. This paper addresses this gap by assessing the reliability of Twitter data for modeling inner-urban mobility dynamics over a 27-month period in the metropolitan area of Rio de Janeiro, Brazil. The evaluation involves the validation of Twitter-derived mobility estimates at both temporal and spatial scales, employing over 1.6 × 1011 mobile phone records of around three million users during the non-stationary mobility period from April 2020 to June 2022, which coincided with the COVID-19 pandemic. The results highlight the need for caution when using Twitter for short-term modeling of urban mobility flows. Short-term inference can be influenced by Twitter policy changes and the availability of publicly accessible tweets. On the other hand, this long-term study …
Cited by:2
Resources:[PDF] from sagepub.com
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Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis
2024
Klára Honzák, Sebastian Schmidt, Bernd Resch, Philipp Ruthensteiner
ISPRS International Journal of Geo-Information 13 (10), 350
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Authors:Klára Honzák, Sebastian Schmidt, Bernd Resch, Philipp Ruthensteiner
Publication date:10/03/2024
Journal:ISPRS International Journal of Geo-Information
Volume:13
Issue:10
Pages:350
Publisher:MDPI
Description:The widespread use of mobile phones and social media platforms provides valuable information about users’ behavior and activities. Mobile phone data are rich on positional information, but lack semantic context. Conversely, geo-social media data reveal users’ opinions and activities, but are rather sparse in space and time. In the context of emergency management, both data types have been considered separately. To exploit their complementary nature and potential for emergency management, this paper introduces a novel methodology for improving situational awareness with the focus on urban events. For crowd detection, a spatial hot spot analysis of mobile phone data is used. The analysis of geo-social media data involves building spatio-temporal topic-sentiment clusters of posts. The results of the spatio-temporal contextual enrichment include unusual crowds associated with topics and sentiments derived from the analyzed geo-social media data. This methodology is demonstrated using the case study of the Vienna Pride. The results show how crowds change over time in terms of their location, size, topics discussed, and sentiments.
Cited by:3
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Eyes on the Street, Mind on the Ride: Decoding Stress in Active Mobility
2024
Martin Moser, Merve Keskin, Bernd Resch
Abstracts of the ICA 7, 108
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Authors:Martin Moser, Merve Keskin, Bernd Resch
Publication date:09/02/2024
Journal:Abstracts of the ICA
Volume:7
Pages:108
Publisher:Copernicus Publications
Description:Stress is an important factor influencing our mobility choices. Existing studies, primarily conducted in controlled lab settings, fail to capture the real-world complexities of stress and dynamic travel behavior. By investigating human-related and spatial factors affecting the stress levels of individuals, we can develop targeted interventions in mobility planning based on strong empirical evidence (eg, Kovacs-Györi & Resch, 2021). In this study, we focus on the following key questions:
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High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery
2024
Steffen Knoblauch, Myat Su Yin, Krittin Chatrinan, Antonio Augusto de Aragão Rocha, Pet…
Scientific Reports 14 (1), 18227
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Authors:Steffen Knoblauch, Myat Su Yin, Krittin Chatrinan, Antonio Augusto de Aragão Rocha, Peter Haddawy, Filip Biljecki, Sven Lautenbach, Bernd Resch, Dorian Arifi, Thomas Jänisch, Ivonne Morales, Alexander Zipf
Publication date:08/06/2024
Journal:Scientific Reports
Volume:14
Issue:1
Pages:18227
Publisher:Nature Publishing Group UK
Description:Identification of Aedes aegypti breeding hotspots is essential for the implementation of targeted vector control strategies and thus the prevention of several mosquito-borne diseases worldwide. Training computer vision models on satellite and street view imagery in the municipality of Rio de Janeiro, we analyzed the correlation between the density of common breeding grounds and Aedes aegypti infestation measured by ovitraps on a monthly basis between 2019 and 2022. Our findings emphasized the significance (p ≤ 0.05) of micro-habitat proxies generated through object detection, allowing to explain high spatial variance in urban abundance of Aedes aegypti immatures. Water tanks, non-mounted car tires, plastic bags, potted plants, and storm drains positively correlated with Aedes aegypti egg and larva counts considering a 1000 m mosquito flight range buffer around 2700 ovitrap locations, while dumpsters …
Cited by:5
Resources:[HTML] from nature.com
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An Explainable Deep Learning Approach for Stress Detection in Wearable Sensor Measurements
2024
Martin Karl Moser, Maximilian Ehrhart, Bernd Resch
Sensors 24 (16), 5085
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Authors:Martin Karl Moser, Maximilian Ehrhart, Bernd Resch
Publication date:08/06/2024
Journal:Sensors
Volume:24
Issue:16
Pages:5085
Publisher:MDPI
Description:Stress has various impacts on the health of human beings. Recent success in wearable sensor development, combined with advancements in deep learning to automatically detect features from raw data, opens several interesting applications related to detecting emotional states. Being able to accurately detect stress-related emotional arousal in an acute setting can positively impact the imminent health status of humans, i.e., through avoiding dangerous locations in an urban traffic setting. This work proposes an explainable deep learning methodology for the automatic detection of stress in physiological sensor data, recorded through a non-invasive wearable sensor device, the Empatica E4 wristband. We propose a Long-Short Term-Memory (LSTM) network, extended through a Deep Generative Ensemble of conditional GANs (LSTM DGE), to deal with the low data regime of sparsely labeled sensor measurements. As explainability is often a main concern of deep learning models, we leverage Integrated Gradients (IG) to highlight the most essential features used by the model for prediction and to compare the results to state-of-the-art expert-based stress-detection methodologies in terms of precision, recall, and interpretability. The results show that our LSTM DGE outperforms the state-of-the-art algorithm by 3 percentage points in terms of recall, and 7.18 percentage points in terms of precision. More importantly, through the use of Integrated Gradients as a layer of explainability, we show that there is a strong overlap between model-derived stress features for electrodermal activity and existing literature, which current state-of-the-art stress …
Cited by:2
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Active learning for identifying disaster-related tweets: A comparison with keyword filtering and generic fine-tuning
2024
David Hanny, Sebastian Schmidt, Bernd Resch
Intelligent Systems Conference, 126-142
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Authors:David Hanny, Sebastian Schmidt, Bernd Resch
Publication date:07/31/2024
Journal:Intelligent Systems Conference
Pages:126-142
Publisher:Springer Nature Switzerland
Description:Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is a difficult task to identify the disaster-related posts among the large amount of unstructured data available. Previous methods often use keyword filtering, topic modelling or classification-based techniques to identify such posts. Active Learning (AL) presents a promising sub-field of Machine Learning (ML) that has not been used much in the field of text classification of social media content. This study therefore investigates the potential of AL for identifying disaster-related Tweets. We compare a keyword filtering approach, a RoBERTa model fine-tuned with generic data from CrisisLex, a base RoBERTa model trained with AL and a fine-tuned RoBERTa model trained with AL regarding classification performance. For testing, data from CrisisLex and manually labelled data from …
Cited by:4
Resources:[PDF] from arxiv.org
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Understanding the impact of geotagging on location inference models for accurate generalization to non-geotagged datasets
2024
Helen Ngonidzashe Serere, Bernd Resch
Geomatica 76 (1), 100004
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Authors:Helen Ngonidzashe Serere, Bernd Resch
Publication date:07/01/2024
Journal:Geomatica
Volume:76
Issue:1
Pages:100004
Publisher:Elsevier
Description:For a location inference model to be successful, the properties of the geotagged tweets where the location inference model is developed and those of the non-geotagged tweets where the location inference model is applied need to match. We investigated location mentions within the tweet text field of 3,953,166 geotagged and 2,783,609 non-geotagged tweets across five of the most prominent Twitter sources. Specifically, we compared the frequency and the location entity types used to infer the locations within the two datasets. Overall we found statistically significant differences in location mentions between the two datasets. However, although statistically significant, thirteen of the fifteen analysed location entities, showed low effect sizes. We conclude that location inference models trained on geotagged datasets can generalize a non-geotagged dataset if special adjustments are made on the development of the …
Cited by:2
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Multimodal Geo-Information Extraction from Social Media for Supporting Decision-Making in Disaster Management
2024
David Hanny, Bernd Resch
AGILE: GIScience Series 5, 28
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Authors:David Hanny, Bernd Resch
Publication date:05/30/2024
Journal:AGILE: GIScience Series
Volume:5
Pages:28
Publisher:Copernicus Publications
Description:Effective decision-making in natural disaster management relies heavily on a comprehensive understanding of the situation in affected areas. Social media has been established as a tool to monitor human response and damage assessment. Given the vast amounts of data available, computational methods such as topic modelling are typically employed to reduce information complexity. However, these methods mostly neglect aspects such as geographic location and emotional response, which frequently results in sequential workflows of initial semantic filtering and subsequent spatial or spatio-temporal analysis. This study presents a novel approach for multimodal information extraction from geo-social media data for aiding decision support in disaster management. The method leverages a spatial, temporal, semantic, and sentiment-based clustering approach of social media posts to extract clusters that provide insights into disaster-related content. A case study in the Ahr Valley region in Germany demonstrates the method’s effectiveness in providing actionable insights for disaster response and management. The approach offers a tool for the quick assessment of disaster-related information from social media, potentially aiding timely and informed decision-making.
Cited by:6
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The Spatial Structures in the Austrian COVID-19 Protest Movement: A Virtual and Geospatial User Network Analysis
2024
Umut Nefta Kanilmaz, Bernd Resch, Roland Holzinger, Christian Wasner, Thomas Steinmaurer
Social Sciences 13 (6), 282
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Authors:Umut Nefta Kanilmaz, Bernd Resch, Roland Holzinger, Christian Wasner, Thomas Steinmaurer
Publication date:05/24/2024
Journal:Social Sciences
Volume:13
Issue:6
Pages:282
Publisher:MDPI
Description:The emergence of the COVID-19 pandemic, followed by policy measures to combat the virus, evoked public protest movements world-wide. These movements were formed not only in the virtual world but also through local protest gatherings. In contrast to previous research that studied movements in the virtual world through digital network analysis, this study recognizes the importance of the spatial dimension of social movements through local interaction. We therefore introduce a large-scale spatial–social network analysis of a georeferenced Twitter user network to understand the regional connections and transnational influences of the local movement through the virtual network. Our findings indicate that the virtual social network is distinctly structured along geographic and linguistic boundaries. Furthermore, our analysis of transnational influences reveals that the connections within Austria itself hold greater significance compared to their impact on external regions.
Cited by:2
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Clustering-based joint topic-sentiment modeling of social media data: a neural networks approach
2024
David Hanny, Bernd Resch
Information 15 (4), 200
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Authors:David Hanny, Bernd Resch
Publication date:04/04/2024
Journal:Information
Volume:15
Issue:4
Pages:200
Publisher:MDPI
Description:With the vast amount of social media posts available online, topic modeling and sentiment analysis have become central methods to better understand and analyze online behavior and opinion. However, semantic and sentiment analysis have rarely been combined for joint topic-sentiment modeling which yields semantic topics associated with sentiments. Recent breakthroughs in natural language processing have also not been leveraged for joint topic-sentiment modeling so far. Inspired by these advancements, this paper presents a novel framework for joint topic-sentiment modeling of short texts based on pre-trained language models and a clustering approach. The method leverages techniques from dimensionality reduction and clustering for which multiple algorithms were considered. All configurations were experimentally compared against existing joint topic-sentiment models and an independent sequential baseline. Our framework produced clusters with semantic topic quality scores of up to 0.23 while the best score among the previous approaches was 0.12. The sentiment classification accuracy increased from 0.35 to 0.72 and the uniformity of sentiments within the clusters reached up to 0.9 in contrast to the baseline of 0.56. The presented approach can benefit various research areas such as disaster management where sentiments associated with topics can provide practical useful information.
Cited by:7
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Drowning in the information flood: Machine-learning-based relevance classification of flood-related tweets for disaster management
2024
Eike Blomeier, Sebastian Schmidt, Bernd Resch
Information 15 (3), 149
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Authors:Eike Blomeier, Sebastian Schmidt, Bernd Resch
Publication date:03/07/2024
Journal:Information
Volume:15
Issue:3
Pages:149
Publisher:MDPI
Description:In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights from eyewitnesses to build a better understanding of the situation and design effective responses. However, filtering relevant content for this purpose poses a challenge. This work thus presents a comparison of different machine learning models (Naïve Bayes, Random Forest, Support Vector Machine, Convolutional Neural Networks, BERT) for semantic relevance classification of flood-related, German-language Tweets. For this, we relied on a four-category training data set created with the help of experts from human aid organisations. We identified fine-tuned BERT as the most suitable model, averaging a precision of 71% with most of the misclassifications occurring across similar classes. We thus demonstrate that our methodology helps in identifying relevant information for more efficient disaster management.
Cited by:12
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Mobilitätskomfort und Sicherheitsempfinden für die urbane Verkehrswende: Radfahren, Produkte und Services im Fokus
2023
Céline Schmidt-Hamburger, Nina Haug, Nikolaj Motzer, David Agola, Martin Moser, Maximil…
Transforming cities 8 (4), 36-41
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Authors:Céline Schmidt-Hamburger, Nina Haug, Nikolaj Motzer, David Agola, Martin Moser, Maximilian Heinke, Bernd Resch, Peter Zeile
Publication date:12/04/2023
Journal:Transforming cities
Volume:8
Issue:4
Pages:36-41
Publisher:expert verlag
Description:Das persönliche Sicherheitsempfinden und erwarteter Komfortverlust sind für viele potenziell am Radfahren interessierte Bürger*innen oftmals Hinderungsgründe sich aktiv für das Fahrrad, das Pedelec oder sogar für das Zufußgehen zu entscheiden. Zusätzlich spielen die mangelhafte Beschaffenheit von Radinfrastrukturen und diverse äußere Einflüsse (zum Beispiel: Wetter, Luftqualität) einen wichtigen Trumpf aus gegen die Wahl des Umweltverbundes und somit in die Karten der MIV-Nutzung. Für die Betrachtung dieser subjektiven Hemmnisse beim Umstieg auf das Rad spielt eine ganzheitliche Analyse von Einflussfaktoren auf das Sicherheitsempfinden und den Mobilitätskomfort der Radfahrenden eine immer wichtigere Rolle. Für die Untersuchung dieser hemmenden Faktoren bedarf es neuer, datengestützter Ansätze. In diesem Kontext können biostatistische Daten zur Wahrnehmung und kognitiven …
Cited by:1
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Neue Methoden und Technologien für Einsatzkräfte: International Katastrophenschutzübung in Salzburg
2023
Marc Wieland, Bernd Resch, Uwe Kippnich, Anton Holzer, Raimund Görtler, Luisa Knoche, M…
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Authors:Marc Wieland, Bernd Resch, Uwe Kippnich, Anton Holzer, Raimund Görtler, Luisa Knoche, Maximilian Schmidt, Sebastian Schmidt, Lucas Angermann, Konstanze Lechner
Publication date:12/01/2023
Description:New methods and technologies for emergency services: International disaster control exercise in Salzburg — Paris-Lodron-University Salzburg Skip to main navigation Skip to search Skip to main content Paris-Lodron-University Salzburg Home Paris-Lodron-University Salzburg Logo Help & FAQ English Deutsch Home Profiles Research units Projects Research output Datasets Press/Media Impacts Activities Prizes Search by expertise, name or affiliation Neue Methoden und Technologien für Einsatzkräfte: International Katastrophenschutzübung in Salzburg Translated title of the contribution : New methods and technologies for emergency services: International disaster control exercise in Salzburg Marc Wieland, Bernd Resch, Uwe Kippnich, Anton Holzer, Raimund Görtler, Luisa Knoche, Maximilian Schmidt, Sebastian Schmidt, Lucas Angermann, Konstanze Lechner Geoinformatics Research output: Contribution to …
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The Digital Layer: Alternative Data for Regional and Innovation Studies
2023
Milad Abbasiharofteh, Miriam Krüger, Jan Kinne, David Lenz, Bernd Resch
Spatial Economic Analysis 18 (4), 507-529
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Authors:Milad Abbasiharofteh, Miriam Krüger, Jan Kinne, David Lenz, Bernd Resch
Publication date:10/02/2023
Journal:Spatial Economic Analysis
Volume:18
Issue:4
Pages:507-529
Publisher:Routledge
Description:The lack of large-scale data revealing the interactions among firms has constrained empirical studies. Utilizing relational web data has remained unexplored as a remedy for this data problem. We constructed a Digital Layer by scraping the inter-firm hyperlinks of 600,000 German firms and linked the Digital Layer with several traditional indicators. We showcase the use of this developed dataset by testing whether the Digital Layer data can replicate several theoretically motivated and empirically supported stylized facts. The results show that the intensity and quality of firms’ hyperlinks are strongly associated with the innovation capabilities of firms and, to a lesser extent, with hyperlink relations to geographically distant and cognitively close firms. Finally, we discuss the implications of the Digital Layer approach for an evidence-based assessment of sectoral and place-based innovation policies.
Cited by:44
Resources:[PDF] from tandfonline.com
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An individual-oriented algorithm for stress detection in wearable sensor measurements
2023
Martin Karl Moser, Bernd Resch, Maximilian Ehrhart
IEEE Sensors Journal 23 (19), 22845-22856
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Authors:Martin Karl Moser, Bernd Resch, Maximilian Ehrhart
Publication date:08/16/2023
Journal:IEEE Sensors Journal
Volume:23
Issue:19
Pages:22845-22856
Publisher:IEEE
Description:Accurately measuring a person’s level of stress can have a wide variety of impacts, not only on human health, but also on the perceived feeling of safety when going after daily habits, such as walking, cycling, or driving from one place to another. While there is a vast amount of research done on stress and the related physiological responses of the human body, there is no go-to method when it comes to measuring acute stress in a live setting. This work proposes an advancement of the rule-based stress detection algorithm proposed by Kyriakou et al., to identify moments of stress (MOS) more reliably, through an adaptation, and individualization of the rules proposed in the original paper. The proposed algorithm leverages electrodermal activity (EDA) and skin temperature (ST), both recorded by the Empatica E4 wristband, for the assessment of an individual’s stress when exposed to an audible stimulus. The …
Cited by:20
Resources:[PDF] from ieee.org
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Emotion sensing for (E-) bicycle safety and mobility comfort
2023
Peter Zeile, Nina Haug, Céline Schmidt-Hamburger, Nicolaj Motzer, Martin Moser, Bernd R…
Journal of Digital Landscape Architecture 8, 381-389
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Authors:Peter Zeile, Nina Haug, Céline Schmidt-Hamburger, Nicolaj Motzer, Martin Moser, Bernd Resch
Publication date:08/01/2023
Journal:Journal of Digital Landscape Architecture
Volume:8
Pages:381-389
Description:The “Emotion Sensing for (E-) Bicycle Safety and Mobility Comfort” approach, in short,“ESSEM”, funded by the mFUND program of the Federal Ministry of Digital Affairs and Transport (BMDV), investigates the subjective safety perception of cyclists in urban traffic. Identifying Moments of Stress in the bicycle network in Ludwigsburg and Osnabrück is done by collecting biophysiological data using sensor technologies and surveys. Besides developing a practical tool for evaluating bicycle infrastructures with emotion-sensing data, bicycle components are designed and assessed within the project.
Cited by:5
Resources:[PDF] from researchgate.net
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Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria
2023
Zhaoxi Zhang, Kristýna Měchurová, Bernd Resch, Prince Amegbor, Clive E Sabel
International Journal of Health Geographics 22 (1), 15
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Authors:Zhaoxi Zhang, Kristýna Měchurová, Bernd Resch, Prince Amegbor, Clive E Sabel
Publication date:06/21/2023
Journal:International Journal of Health Geographics
Volume:22
Issue:1
Pages:15
Publisher:BioMed Central
Description:Overcrowding in densely populated urban areas is increasingly becoming an issue for mental health disorders. Yet, only few studies have examined the association between overcrowding in cities and physiological stress responses. Thus, this study employed wearable sensors (a wearable camera, an Empatica E4 wristband and a smartphone-based GPS) to assess the association between overcrowding and human physiological stress response in four types of urban contexts (green space, transit space, commercial space, and blue space). A case study with 26 participants was conducted in Salzburg, Austria. We used Mask R-CNN to detect elements related to overcrowding such as human crowds, sitting facilities, vehicles and bikes from first-person video data collected by wearable cameras, and calculated a change score (CS) to assess human physiological stress response based on galvanic skin response …
Cited by:12
Resources:[HTML] from springer.com
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Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti
2023
Steffen Knoblauch, Hao Li, Sven Lautenbach, Yara Elshiaty, Antônio A de A Rocha, Bernd …
International Journal of Applied Earth Observation and Geoinformation 119, 103304
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Authors:Steffen Knoblauch, Hao Li, Sven Lautenbach, Yara Elshiaty, Antônio A de A Rocha, Bernd Resch, Dorian Arifi, Thomas Jänisch, Ivonne Morales, Alexander Zipf
Publication date:05/01/2023
Journal:International Journal of Applied Earth Observation and Geoinformation
Volume:119
Pages:103304
Publisher:Elsevier
Description:The disease transmitting mosquito Aedes Aegypti is an increasing global threat. It breeds in small artificial containers such as rainwater tanks and can be characterized by a short flight range. The resulting high spatial variability of abundance is challenging to model. Therefore, we tested an approach to map water tank density as a spatial proxy for urban Aedes Aegypti habitat suitability. Water tank density mapping was performed by a semi-supervised self-training approach based on open accessible satellite imagery for the city of Rio de Janeiro. We ran a negative binomial generalized linear regression model to evaluate the statistical significance of water tank density for modeling inner-urban Aedes Aegypti distribution measured by an entomological surveillance system between January 2019 and December 2021. Our proposed semi-supervised model outperformed a supervised model for water tank detection …
Cited by:7
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Innovation in hyperlink and social media networks: Comparing connection strategies of innovative companies in hyperlink and social media networks
2023
Dorian Arifi, Bernd Resch, Jan Kinne, David Lenz
PloS one 18 (3), e0283372
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Authors:Dorian Arifi, Bernd Resch, Jan Kinne, David Lenz
Publication date:03/30/2023
Journal:PloS one
Volume:18
Issue:3
Pages:e0283372
Publisher:Public Library of Science
Description:This paper seeks to unveil how (geospatial) connection strategies associated with business innovation, differ between geolocated social media and hyperlink company networks. Thereby, we provide a first step towards understanding connection strategies of innovative companies on social media platforms. For this purpose, we build a hyperlink and Twitter follower network for 11,892 companies in the information technology (IT) sector and compare them along four dimensions. First, underlying network structures were assessed. Second, we asserted information flow patterns between companies with the help of centrality measures. Third, geographic and cognitive proximities of companies were compared. Fourth, the influence of company characteristics was examined through linear and logistic regression models. This comparison revealed, that on a general level the basic connection patterns of the hyperlink and Twitter network differ. Nevertheless, the geospatial dimension (geographic proximity) and the knowledge base of a company (cognitive proximity) appear to have a similar influence on the decision to connect with other companies on Twitter and via hyperlinks. Further, the results suggest that innovative companies most likely align their connection strategies across hyperlink and Twitter networks. Thus, business innovation might effect connection strategies across online company networks in a comparable manner.
Cited by:5
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Sina Bernhard, MA u104371
2023
Bernd Resch
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Authors:Bernd Resch
Publication date:03/28/2023
Description:This study examines the spatial distribution and identifies clusters of software companies in the United States and Germany. Using a dataset of over 15 million US and 1.4 million German street-level geocoded company observations and 24 location factors, a predictive model was created to predict the local presence of software companies within each square kilometer in both countries. The study reveals that the location factors of agglomeration, some socioeconomic factors, and terrain have a positive influence on the location of software companies in both countries, while the effects of other location factors, such as amenities and infrastructure, vary. The purpose of this study is to use exploratory spatial data analysis (ESDA) to strengthen the understanding of economic processes and contribute to the empirical literature. This interdisciplinary study between geoinformatics and economics will provide insights into the location theory and cluster theory of the software industry in the United States and Germany.
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Geographic information extraction from texts (geoext)
2023
Xuke Hu, Yingjie Hu, Bernd Resch, Jens Kersten
European Conference on Information Retrieval, 398-404
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Authors:Xuke Hu, Yingjie Hu, Bernd Resch, Jens Kersten
Publication date:03/16/2023
Journal:European Conference on Information Retrieval
Pages:398-404
Publisher:Springer Nature Switzerland
Description:A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction.
Cited by:10
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Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection
2023
Helen Ngonidzashe Serere, Bernd Resch, Clemens Rudolf Havas
Plos one 18 (3), e0282942
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Authors:Helen Ngonidzashe Serere, Bernd Resch, Clemens Rudolf Havas
Publication date:03/15/2023
Journal:Plos one
Volume:18
Issue:3
Pages:e0282942
Publisher:Public Library of Science
Description:Twitter location inference methods are developed with the purpose of increasing the percentage of geotagged tweets by inferring locations on a non-geotagged dataset. For validation of proposed approaches, these location inference methods are developed on a fully geotagged dataset on which the attached Global Navigation Satellite System coordinates are used as ground truth data. Whilst a substantial number of location inference methods have been developed to date, questions arise pertaining the generalizability of the developed location inference models on a non-geotagged dataset. This paper proposes a high precision location inference method for inferring tweets’ point of origin based on location mentions within the tweet text. We investigate the influence of data selection by comparing the model performance on two datasets. For the first dataset, we use a proportionate sample of tweet sources of a geotagged dataset. For the second dataset, we use a modelled distribution of tweet sources following a non-geotagged dataset. Our results showed that the distribution of tweet sources influences the performance of location inference models. Using the first dataset we outweighed state-of-the-art location extraction models by inferring 61.9%, 86.1% and 92.1% of the extracted locations within 1 km, 10 km and 50 km radius values, respectively. However, using the second dataset our precision values dropped to 45.3%, 73.1% and 81.0% for the same radius values.
Cited by:32
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Detecting Outliers in Cardiopulmonary Exercise Testing Data of Ski Racers-A Comparison of Methods and their Effect on the Performance of Fatigue Prediction.
2023
Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl, …
Int. J. Comput. Sci. Sport 22 (1), 65-79
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Authors:Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl, Bernd Resch
Publication date:03/01/2023
Journal:Int. J. Comput. Sci. Sport
Volume:22
Issue:1
Pages:65-79
Cited by:1
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Polarity-based sentiment analysis of georeferenced tweets related to the 2022 twitter acquisition
2023
Sebastian Schmidt, Christina Zorenböhmer, Dorian Arifi, Bernd Resch
Information 14 (2), 71
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Authors:Sebastian Schmidt, Christina Zorenböhmer, Dorian Arifi, Bernd Resch
Publication date:01/27/2023
Journal:Information
Volume:14
Issue:2
Pages:71
Publisher:MDPI
Description:Twitter, one of the most important social media platforms, has been in the headlines regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a strong impact on the employees, functionality, and discourse on Twitter. So far, however, there has been no analysis that examines the perception of the acquisition by the users on the platform itself. For this purpose, in this paper, we use georeferenced Tweets from the US and classify them using a polarity-based sentiment analysis. We find that the number of Tweets about Twitter and Elon Musk has increased significantly, as have negative sentiments on the subject. Using a spatial hot spot analysis, we find distinct centres of discourse, but no clear evidence of their significant change over time. On the West Coast, however, we suspect the first signs of polarisation, which could be an important indication for the future development of discourse on Twitter.
Cited by:18
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Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
2023
Lucas M Stolerman, Leonardo Clemente, Canelle Poirier, Kris V Parag, Atreyee Majumder, …
Science Advances 9 (3), eabq0199
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Authors:Lucas M Stolerman, Leonardo Clemente, Canelle Poirier, Kris V Parag, Atreyee Majumder, Serge Masyn, Bernd Resch, Mauricio Santillana
Publication date:01/18/2023
Journal:Science Advances
Volume:9
Issue:3
Pages:eabq0199
Publisher:American Association for the Advancement of Science
Description:Coronavirus disease 2019 (COVID-19) continues to affect the world, and the design of strategies to curb disease outbreaks requires close monitoring of their trajectories. We present machine learning methods that leverage internet-based digital traces to anticipate sharp increases in COVID-19 activity in U.S. counties. In a complementary direction to the efforts led by the Centers for Disease Control and Prevention (CDC), our models are designed to detect the time when an uptrend in COVID-19 activity will occur. Motivated by the need for finer spatial resolution epidemiological insights, we build upon previous efforts conceived at the state level. Our methods—tested in an out-of-sample manner, as events were unfolding, in 97 counties representative of multiple population sizes across the United States—frequently anticipated increases in COVID-19 activity 1 to 6 weeks before local outbreaks, defined when the …
Cited by:32
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Emotionswahrnehmung für Fahrradsicherheit und Mobilitätskomfort
2023
Nicolaj Motzer, Peter Zeile, Bernd Resch, Nina Haug, Céline Schmidt-Hamburger, Martin M…
AGIT. Journal für angewandte Geoinformatik
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Authors:Nicolaj Motzer, Peter Zeile, Bernd Resch, Nina Haug, Céline Schmidt-Hamburger, Martin Moser, Frank Otte, Maximilian Heinke, Carolina Mazza, Mira Kern, Peter Klein
Publication date:01/01/2023
Journal:AGIT. Journal für angewandte Geoinformatik
Description:Wie sicher sich Menschen beim Radfahren fühlen, hat einen Einfluss darauf, ob sie sich dafür entscheiden, das Fahrrad zu nutzen. Dabei existieren eine Reihe von Faktoren, die das Sicherheitsempfinden beeinflussen. Neben externen Einflüssen sind es fehlende oder schlechte Radverkehrsanlagen, die entweder zu wenig Platz oder Schutz bieten. Im Rahmen des Forschungsprojektes ESSEM, gefördert vom Ministerium für Digitalisierung und Verkehr, wird ein innovativer Forschungsansatz realisiert, bei dem mithilfe zu erhebender Daten das Stresslevel von Fahrradfahrer: innen quantifiziert wird. Die Datengrundlage bietet weitreichende Potenziale, um Implikationen für die Radinfrastrukturoptimierung, aber auch Produktentwicklung und-evaluation zu ermitteln.
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A framework to facilitate advanced mixed methods studies for investigating interventions in road space for cycling
2022
Christian Werner, Elisabeth Füssl, Jannik Rieß, Bernd Resch, Florian Kratochwil, Martin…
Sustainability 15 (1), 622
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Authors:Christian Werner, Elisabeth Füssl, Jannik Rieß, Bernd Resch, Florian Kratochwil, Martin Loidl
Publication date:12/29/2022
Journal:Sustainability
Volume:15
Issue:1
Pages:622
Publisher:MDPI
Description:Cycling mobility contributes to better livability in cites, helps societies to reduce greenhouse gas emissions and their dependency on fossil fuels, and shows positive health effects. However, unattractive conditions, primarily inadequate infrastructure, hinder the further growth of cycling mobility. As interactions of cyclists with the (built) environment are complex, assessing potential impacts of an intervention aimed at improving physical conditions is not trivial. Despite a growing body of literature on various facets of cycling mobility, assessments are widely limited to a single method and thereby either focus on one detailed aspect or on one perspective. While multi-method and mixed methods studies are emerging, they are not embedded into a structured, integrated framework for assessing systemic effects of interventions yet. Therefore, we propose a conceptual integration of several relevant methods such as questionnaires, interviews, GIS analyses and human sensing. In this paper, we present a generic, extensible framework that offers guidance for developing and implementing case-specific mixed methods designs for multifaceted assessments of interventions. The framework supports domain experts and researchers across different stages of conducting a study. Results from this research further indicate the added value of mixed methods studies compared to single-method approaches.
Cited by:2
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Emotion Sensing für (E-) Fahrradsicherheit und Mobilitätskomfort–das BMDV-Projekt ESSEM
2022
Peter Zeile, Nina Haug, Céline Schmidt-Hamburger, Steffen Bengel, Nicolaj Motzer, Frank…
Mobility, Knowledge and Innovation Hubs in Urban and Regional Development. Proceedings …
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Authors:Peter Zeile, Nina Haug, Céline Schmidt-Hamburger, Steffen Bengel, Nicolaj Motzer, Frank Otte, Tom Rath, Peter Klein, Martin Moser, Bernd Resch
Publication date:11/16/2022
Journal:Mobility, Knowledge and Innovation Hubs in Urban and Regional Development. Proceedings of REAL CORP 2022, 27th International Conference on Urban Development, Regional Planning and Information Society
Pages:259-268
Publisher:CORP–Competence Center of Urban and Regional Planning
Description:Das Fahrrad nimmt in der Diskussion um postfossile Mobilitätsformen eine wichtige Schlüsselrolle ein und kann vor allem im Stadtverkehr eine bedeutsame Alternative zum motorisierten Individualverkehr darstellen. Fahrradfahren ist nicht nur umweltfreundlich, klimaschonend und kostengünstig, sondern auch förderlich für die persönliche Gesundheit. In der Realität legt sich dies im Modal Split vieler Städte immer noch nicht nieder. Vielfach wird der Umstieg auf das Fahrrad hin zur flächendeckenden Nutzung durch ein mangelndes Sicherheitsempfinden von Radfahrenden verhindert. Das im mFUND-Programm des Bundesministerium für Digitales und Verkehr (BMDV) geförderte Verbundprojekt Emotion Sensing für (E-)Fahrradsicherheit und Mobilitätskomfort, kurz „ESSEM“, untersucht aus diesem Anlass heraus das subjektive Sicherheitsempfinden von Radfahrenden im Stadtverkehr. Mithilfe iterativer Erhebungen von umfeld- und körpernahen Daten mittels Sensoriktechnologien werden in den beiden Modellstädten Ludwigsburg und Osnabrück Stresspunkte im kommunalen Radverkehrsnetz identifiziert und analysiert. Die gewonnenen Erkenntnisse sollen dabei helfen, Methoden und Handlungsempfehlungen für eine moderne, datengestützte Radverkehrsplanung zu entwickeln und die Fahrradinfrastruktur zukünftig angenehmer und sicherer gestalten zu können. Perspektivisch sollen innerhalb der dreijährigen Projektlaufzeit gemeinsam mit Industriepartnerinnen und Industriepartnern neben einem praxistauglichen Tool zum Bewerten von Fahrradinfrastrukturen mit Emotion-Sensing-Daten noch weitere Fahrradkomponenten (u.a. digitaler …
Cited by:3
Resources:[PDF] from corp.at
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Bedarfe, Anforderungen und Möglichkeiten der Krisenkartierung mit Methoden der Künstlichen Intelligenz am Beispiel der Hochwasserkatastrophe im Ahrtal 2021
2022
Marc Wieland, Lucas Dominik Angermann, Carolin Gilga, Luisa Knoche, Jonas Mehrl, Uwe Ki…
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Authors:Marc Wieland, Lucas Dominik Angermann, Carolin Gilga, Luisa Knoche, Jonas Mehrl, Uwe Kippnich, Bernd Resch, Sebastian Schmid, Marc Schmidtobreick
Publication date:10/27/2022
Description:Bedarfe, Anforderungen und Möglichkeiten der Krisenkartierung mit KI-Methoden aus dem DE/AT Forschungsprojekt AIFER am Beispiel der Hochwasserkatastrophe im Ahrtal 2021 (DE, 90 min) Der Workshop gibt einen Einblick in das deutsch-österreichische Forschungsprojekt AIFER. AIFER entwickelt Methoden der Künstlichen Intelligenz, um Informationen aus Satelliten-, Luftbild und Drohnendaten und Geo-sozialen Medien und Nachrichten automatisiert zu extrahieren und intelligent zu fusionieren. Häufigkeit und Intensität von Naturkatastrophen nehmen stetig zu und stellen Behörden und Organisationen mit Sicherheitsaufgaben (BOS) vor zunehmend größere Herausforderungen in Bezug auf die Verfügbarkeit und Nutzung von echtzeitnahen und großflächigen Informationen zur Erfassung und Bewertung der Lage. Zudem gibt es bisher keine Lösungen, heterogene Massendaten, wie Erdbeobachtungsdaten und Daten aus geo-sozialen Medien, automatisiert auszuwerten und so zu fusionieren, dass ein gesamtheitliches und dynamisch aktualisiertes Lagebild entsteht. In der Workshop-Session soll auf Möglichkeiten zur Ableitung von Kriseninformation mittels Methoden der Künstlichen Intelligenz eingegangen werden. Am Beispiel der Hochwasserkatastrophe im Ahrtal werden Anforderungen und Bedarfe der BOS bei Einsätzen in Extremwetterlagen skizziert und darauf aufbauend aktuelle Forschungs- und Entwicklungsarbeiten aus dem Bereich der KI-gestützten Krisenkartierung präsentiert und demonstriert. Eine 3D Web-Anwendung des DLR/ZKI veranschaulicht die Möglichkeiten der innovativen Informationsextraktion aus Satelliten …
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A Comparison of Methods for Automatic Outlier Detection in Ergospirometric Data and Their Effect on the Performance of Predictive Models
2022
Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl, …
World Congress of Performance Analysis of Sport & International Conference of Computer …
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Authors:Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl, Bernd Resch
Publication date:09/10/2022
Journal:World Congress of Performance Analysis of Sport & International Conference of Computer Science in Sports
Pages:55-59
Publisher:Springer Nature Switzerland
Description:Features obtained from cardiopulmonary exercise testing provide useful information for predicting target values of high interest in the sports and healthcare industry. However, these sensor-generated data are susceptible to different factors that may cause imprecise measurements. This paper applies three selected outlier detection methods to ergospirometric data of junior ski racers and compares them in terms of detected points and the effect of outlier removal on descriptive measures. Further, we examine the effect of outlier removal on the predictive performance for assessing perceived fatigue by leave-one-subject-out cross-validation. A common feature of all inspected methods is the reliable detection of extreme unrealistic values, causing averages to shift in the same direction after removing outliers and decreasing the standard deviation of values. Differences of the produced results lie in the type of detection …
Cited by:1
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Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining
2022
Sebastian Schmidt, Jan Kinne, Sven Lautenbach, Thomas Blaschke, David Lenz, Bernd Resch
Science of The Total Environment 835, 155512
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Authors:Sebastian Schmidt, Jan Kinne, Sven Lautenbach, Thomas Blaschke, David Lenz, Bernd Resch
Publication date:08/20/2022
Journal:Science of The Total Environment
Volume:835
Pages:155512
Publisher:Elsevier
Description:This study deals with the issue of greenwashing, i.e. the false portrayal of companies as environmentally friendly. The analysis focuses on the US metal industry, which is a major emission source of sulfur dioxide (SO2), one of the most harmful air pollutants. One way to monitor the distribution of atmospheric SO2 concentrations is through satellite data from the Sentinel-5P programme, which represents a major advance due to its unprecedented spatial resolution. In this paper, Sentinel-5P remote sensing data was combined with a plant-level firm database to investigate the relationship between the US metal industry and SO2 concentrations using a spatial regression analysis. Additionally, this study considered web text data, classifying companies based on their websites in order to depict their self-portrayal on the topic of sustainability. In doing so, we investigated the topic of greenwashing, i.e. whether or not a …
Cited by:15
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An eDiary App Approach for collecting physiological Sensor Data from Wearables together with subjective observations and emotions
2022
Andreas Petutschnig, Steffen Reichel, Kristýna Měchurová, Bernd Resch
Sensors 22 (16), 6120
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Authors:Andreas Petutschnig, Steffen Reichel, Kristýna Měchurová, Bernd Resch
Publication date:08/16/2022
Journal:Sensors
Volume:22
Issue:16
Pages:6120
Publisher:MDPI
Description:Field measurement campaigns with traffic participants using wearable sensors and questionnaires can be challenging to carry out because of inconsistent interfaces across manufacturers for accessing sensor data and campaign-specific questionnaire contents bear large potential for errors. We present an app able to consolidate data from multiple technical sensors and questionnaires. The functionality includes providing feedback for correct sensor platform mounting, accessing and storing all sensor and questionnaire data in a uniform data structure. To do this, the app implements a sensor data bus class that unifies data from technical sensors and questionnaires. The app can also be extended to accommodate other sensor platforms provided they have a suitable API. We also describe a database structure holding the data from multiple campaigns and test subjects in a privacy preserving fashion. Finally, we identify some potential issues and hints that practitioners may encounter when conducting a measurement campaign.
Cited by:7
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A Conditional GAN for Generating Time Series Data for Stress Detection in Wearable Physiological Sensor Data
2022
Maximilian Ehrhart, Bernd Resch, Clemens Havas, David Niederseer
Sensors 22 (16), 5969
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Authors:Maximilian Ehrhart, Bernd Resch, Clemens Havas, David Niederseer
Publication date:08/10/2022
Journal:Sensors
Volume:22
Issue:16
Pages:5969
Publisher:MDPI
Description:Human-centered applications using wearable sensors in combination with machine learning have received a great deal of attention in the last couple of years. At the same time, wearable sensors have also evolved and are now able to accurately measure physiological signals and are, therefore, suitable for detecting body reactions to stress. The field of machine learning, or more precisely, deep learning, has been able to produce outstanding results. However, in order to produce these good results, large amounts of labeled data are needed, which, in the context of physiological data related to stress detection, are a great challenge to collect, as they usually require costly experiments or expert knowledge. This usually results in an imbalanced and small dataset, which makes it difficult to train a deep learning algorithm. In recent studies, this problem is tackled with data augmentation via a Generative Adversarial Network (GAN). Conditional GANs (cGAN) are particularly suitable for this as they provide the opportunity to feed auxiliary information such as a class label into the training process to generate labeled data. However, it has been found that during the training process of GANs, different problems usually occur, such as mode collapse or vanishing gradients. To tackle the problems mentioned above, we propose a Long Short-Term Memory (LSTM) network, combined with a Fully Convolutional Network (FCN) cGAN architecture, with an additional diversity term to generate synthetic physiological data, which are used to augment the training dataset to improve the performance of a binary classifier for stress detection. We evaluated the …
Cited by:33
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Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributions
2022
Alessandro Crivellari, Bernd Resch
Computational Urban Science 2 (1), 19
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Authors:Alessandro Crivellari, Bernd Resch
Publication date:06/28/2022
Journal:Computational Urban Science
Volume:2
Issue:1
Pages:19
Publisher:Springer Nature Singapore
Description:Urban morphology and human mobility are two sides of the complex mixture of elements that implicitly define urban functionality. By leveraging the emerging availability of crowdsourced data, we aim for novel insights on how they relate to each other, which remains a substantial scientific challenge. Specifically, our study focuses on extracting spatial-temporal information from taxi trips in an attempt on grouping urban space based on human mobility, and subsequently assess its potential relationship with urban functional characteristics in terms of local points-of-interest (POI) distribution. Proposing a vector representation of urban areas, constructed via unsupervised machine learning on trip data’s temporal and geographic factors, the underlying idea is to define areas as “related” if they often act as destinations of similar departing regions at similar points in time, regardless of any other explicit information. Hidden …
Cited by:5
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Adapting mobile map application designs to map use context: a review and call for action on potential future research themes
2022
Mona Bartling, Bernd Resch, Tumasch Reichenbacher, Clemens Rudolf Havas, Anthony C Robi…
Cartography and Geographic Information Science 49 (3), 237-251
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Authors:Mona Bartling, Bernd Resch, Tumasch Reichenbacher, Clemens Rudolf Havas, Anthony C Robinson, Sara Irina Fabrikant, Thomas Blaschke
Publication date:05/04/2022
Journal:Cartography and Geographic Information Science
Volume:49
Issue:3
Pages:237-251
Publisher:Taylor & Francis
Description:The increased use of mobile maps in our highly mobile digital culture has resulted in a large variety of map users and map use situations. For mobile map applications that engage a broad user base and feature diverging map usage contexts, one-size-fits-all map interface designs might result in significant usability tradeoffs. To respond to this challenge, changing the map design based on map use context attributes, such as increasing icon sizes for people with impaired vision or using the user’s position to highlight information on the map are only a few of the many ways mobile map applications can be designed and adapted to respond to the needs of users and their map use situations. However, there remains a clear need for research on the intersections between map use contexts and mobile map application design and adaptation. Therefore, this article reviews and synthesizes literature on map use context …
Cited by:35
Resources:[PDF] from tandfonline.com
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TraceBERT—A Feasibility Study on Reconstructing Spatial–Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences
2022
Alessandro Crivellari, Bernd Resch, Yuhui Shi
Sensors 22 (4), 1682
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Authors:Alessandro Crivellari, Bernd Resch, Yuhui Shi
Publication date:02/21/2022
Journal:Sensors
Volume:22
Issue:4
Pages:1682
Publisher:MDPI
Description:Trajectory data represent an essential source of information on travel behaviors and human mobility patterns, assuming a central role in a wide range of services related to transportation planning, personalized recommendation strategies, and resource management plans. The main issue when dealing with trajectory recordings, however, is characterized by temporary losses in the data collection, causing possible spatial–temporal gaps and missing trajectory segments. This is especially critical in those use cases based on non-repetitive individual motion traces, when the user’s missing information cannot be directly reconstructed due to the absence of historical individual repetitive routes. Inserted in the context of location-based trajectory modeling, we tackle the problem by proposing a technical parallelism with the natural language processing domain. Specifically, we introduce the use of the Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art language representation model, into the trajectory processing research field. By training deep bidirectional representations from unlabeled location sequences, jointly conditioned on both left and right context, we derive an explicit predicted estimation of the missing locations along the trace. The proposed framework, named TraceBERT, was tested on a real-world large-scale trajectory dataset of short-term tourists, exploring an effective attempt of adapting advanced language modeling approaches into mobility-based applications and demonstrating a prominent potential on trajectory reconstruction over traditional statistical approaches.
Cited by:6
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STEAM Stories: A Co-creation Approach to Building STEAM Skills through Stories of Personal Interest
2022
Christina Zorenböhmer, Eva Missoni-Steinbacher, Peter Jeremias, Ulrich Öttl, Bernd Resch
GI-Forum Journal, 135-149
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Authors:Christina Zorenböhmer, Eva Missoni-Steinbacher, Peter Jeremias, Ulrich Öttl, Bernd Resch
Publication date:01/01/2022
Journal:GI-Forum Journal
Pages:135-149
Description:The ever-increasing digitalization of our everyday lives repeatedly and prominently sparks discussion about the need for STEAM (Science, Technology, Engineering, Arts, Mathematics) skills. In terms of education, STEAM initiatives focus on skills development and the use of digital technologies to stimulate students’ engagement with societal issues. This paper introduces an iterative co-creation-based approach for enabling and enriching STEAM learning experiences. Our goal is to foster young citizen scientists by having them share and discuss stories of personal interest and experience, while practising and improving their STEAM skills through local engagement. The young citizen scientists contribute to all phases of a story, including its co-creation and conception, data collection, discussion in workshops, and generating outputs relevant to local and regional policymakers. The particular spatial focus of the approach is in the places where the stories take place. The stories are uploaded to a map-based platform, which is used for data collection and visualization, and as a focus for discussion. Through personal involvement, the young citizen scientists are motivated, which fosters local ownership, sustainable use of the platform, and effective capacity building in digital skills.
Cited by:2
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Commuter mobility patterns in social media: correlating twitter and lodes data
2021
Andreas Petutschnig, Jochen Albrecht, Bernd Resch, Laxmi Ramasubramanian, Aleisha Wright
ISPRS International Journal of Geo-Information 11 (1), 15
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Authors:Andreas Petutschnig, Jochen Albrecht, Bernd Resch, Laxmi Ramasubramanian, Aleisha Wright
Publication date:12/30/2021
Journal:ISPRS International Journal of Geo-Information
Volume:11
Issue:1
Pages:15
Publisher:MDPI
Description:The Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) are an important city planning resource in the USA. However, curating these statistics is resource-intensive, and their accuracy deteriorates when changes in population and urban structures lead to shifts in commuter patterns. Our study area is the San Francisco Bay area, and it has seen rapid population growth over the past years, which makes frequent updates to LODES or the availability of an appropriate substitute desirable. In this paper, we derive mobility flows from a set of over 40 million georeferenced tweets of the study area and compare them with LODES data. These tweets are publicly available and offer fine spatial and temporal resolution. Based on an exploratory analysis of the Twitter data, we pose research questions addressing different aspects of the integration of LODES and Twitter data. Furthermore, we develop methods for their comparative analysis on different spatial scales: at the county, census tract, census block, and individual street segment level. We thereby show that Twitter data can be used to approximate LODES on the county level and on the street segment level, but it also contains information about non-commuting-related regular travel. Leveraging Twitter’s high temporal resolution, we also show how factors like rush hour times and weekends impact mobility. We discuss the merits and shortcomings of the different methods for use in urban planning and close with directions for future research avenues.
Cited by:9
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The role of user context in the design of mobile map applications
2021
Mona Bartling, Anthony C Robinson, Bernd Resch, Anton Eitzinger, Karl Atzmanstorfer
Cartography and geographic information science 48 (5), 432-448
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Authors:Mona Bartling, Anthony C Robinson, Bernd Resch, Anton Eitzinger, Karl Atzmanstorfer
Publication date:09/03/2021
Journal:Cartography and geographic information science
Volume:48
Issue:5
Pages:432-448
Publisher:Taylor & Francis
Description:Mobile map applications are typically used by a broad range of users. Users can be diverse in their context attributes (e.g. map use experience, activities during map use), and several previous user experience (UX) studies have focused on understanding how some contextual factors influence the UX for designing maps that satisfy users’ needs. A need for research remains to evaluate the relationship between user context, UX, and variants of mobile map element design. In this article, we present our research investigating the interplay of these factors through an empirical user study with citizens in Austria. We created an online survey and generated 84 map variations, combining seven map-related tasks, three base map styles, two map detail densities, and two time-pressure variants. We tested these map variations with 107 survey participants and related their UX to user context. Map-related tasks emerged as a …
Cited by:30
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# allforjan: How twitter users in europe reacted to the murder of ján kuciak—revealing spatiotemporal patterns through sentiment analysis and topic modeling
2021
Tamás Kovács, Anna Kovács-Győri, Bernd Resch
ISPRS International Journal of Geo-Information 10 (9), 585
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Authors:Tamás Kovács, Anna Kovács-Győri, Bernd Resch
Publication date:09/01/2021
Journal:ISPRS International Journal of Geo-Information
Volume:10
Issue:9
Pages:585
Publisher:Multidisciplinary Digital Publishing Institute
Description:Social media platforms such as Twitter are considered a new mediator of collective action, in which various forms of civil movements unite around public posts, often using a common hashtag, thereby strengthening the movements. After 26 February 2018, the# AllforJan hashtag spread across the web when Ján Kuciak, a young journalist investigating corruption in Slovakia, and his fiancée were killed. The murder caused moral shock and mass protests in Slovakia and in several other European countries, as well. This paper investigates how this murder, and its follow-up events, were discussed on Twitter, in Europe, from 26 February to 15 March 2018. Our investigations, including spatiotemporal and sentiment analyses, combined with topic modeling, were conducted to comprehensively understand the trends and identify potential underlying factors in the escalation of the events. After a thorough data pre-processing including the extraction of spatial information from the users’ profile and the translation of non-English tweets, we clustered European countries based on the temporal patterns of tweeting activity in the analysis period and investigated how the sentiments of the tweets and the discussed topics varied over time in these clusters. Using this approach, we found that tweeting activity resonates not only with specific follow-up events, such as the funeral or the resignation of the Prime Minister, but in some cases, also with the political narrative of a given country affecting the course of discussions. Therefore, we argue that Twitter data serves as a unique and useful source of information for the analysis of such civil movements, as the analysis …
Cited by:13
Resources:&subject=ISPRS%20Int.%20J.%20Geo-Inf.,%20Volume%2010,%20Issue%209%20(September%202021)%20Table%20of%20Contents&campaign=ReleaseIssue" target="_blank">[HTML] from mdpi.com
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Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring
2021
Clemens Havas, Bernd Resch
Natural Hazards 108 (3), 2939-2969
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Authors:Clemens Havas, Bernd Resch
Publication date:09/01/2021
Journal:Natural Hazards
Volume:108
Issue:3
Pages:2939-2969
Publisher:Springer Netherlands
Description:Up-to-date information about an emergency is crucial for effective disaster management. However, severe restrictions impede the creation of spatiotemporal information by current remote sensing-based monitoring systems, especially at the beginning of a disaster. Multiple publications have shown promising results in complementing monitoring systems through spatiotemporal information extracted from social media data. However, various monitoring system criteria, such as near-real-time capabilities or applicability for different disaster types and use cases, have not yet been addressed. This paper presents an improved version of a recently proposed methodology to identify disaster-impacted areas (hot spots and cold spots) by combining semantic and geospatial machine learning methods. The process of identifying impacted areas is automated using semi-supervised topic models for various kinds of natural …
Cited by:31
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Modeling patterns in map use contexts and mobile map design usability
2021
Mona Bartling, Clemens R Havas, Stefan Wegenkittl, Tumasch Reichenbacher, Bernd Resch
ISPRS International Journal of Geo-Information 10 (8), 527
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Authors:Mona Bartling, Clemens R Havas, Stefan Wegenkittl, Tumasch Reichenbacher, Bernd Resch
Publication date:08/01/2021
Journal:ISPRS International Journal of Geo-Information
Volume:10
Issue:8
Pages:527
Publisher:Multidisciplinary Digital Publishing Institute
Description:Mobile map applications are increasingly used in various aspects of our lives, leading to an increase in different map use situations and, therefore, map use contexts. Several empirical usability studies have identified how map design is associated with and impacted by selected map use context attributes. This research seeks to expand on these studies and analyzes combinations of map use contexts to identify relevant contextual factors that influence mobile map design usability. In a study with 50 participants from Colombia, we assessed in an online survey the usability of 27 map design variations (consisting of three map-reading tasks, three base map styles, and three interactivity variants). We found that the overall map design is critical in supporting map-reading activities (eg, identifying a location on a map was supported by a simplified base map, whereas selecting points on the map was supported by a more detailed base map). We then evaluated user patterns in the collected data with archetypal analysis. It was possible to create archetypal representations of the participants with a corresponding map design profile and establish a workflow for modeling patterns in usability and context data. We recommend that future research continues assessing archetypal analysis as it provides a means for context-based decision-making on map design adaptation and transferability.
Cited by:16
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Spatio-temporal machine learning analysis of social media data and refugee movement statistics
2021
Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia…
ISPRS International Journal of Geo-Information 10 (8), 498
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Authors:Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch
Publication date:08/01/2021
Journal:ISPRS International Journal of Geo-Information
Volume:10
Issue:8
Pages:498
Publisher:Multidisciplinary Digital Publishing Institute
Description:In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfer, care, and accommodation of refugees due to the information gap about ongoing refugee movements. Therefore, we propose an approach utilising machine learning methods and publicly available data to provide more information about refugee movements. The approach combines methods to analyse the textual, temporal and spatial features of social media data and the number of arriving refugees of historical refugee movement statistics to provide relevant and up to date information about refugee movements and expected numbers. The results include spatial patterns and factual information about collective refugee movements extracted from social media data that match actual movement patterns. Furthermore, our approach enables us to forecast and simulate refugee movements to forecast an increase or decrease in the number of incoming refugees and to analyse potential future scenarios. We demonstrate that the approach proposed in this article benefits refugee management and vastly improves the status quo.
Cited by:10
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Towards an automated spatial workflow for the global monitoring of public urban green accessibility in the light of the Sustainable Development Goals
2021
Anna Kovacs-Györi, Bernd Resch
gis. Science: Die Zeitschrift für Geoinformatik (2/2021), 39-46
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Authors:Anna Kovacs-Györi, Bernd Resch
Publication date:06/01/2021
Journal:gis. Science: Die Zeitschrift für Geoinformatik
Issue:2/2021
Pages:39-46
Publisher:Wichmann Verlag/VDE
Description:The 11th Sustainable Development Goal (SDG) by the UN sets the achievement of inclusive, safe, resilient and sustainable settlements as a goal by 2030. One of the sub-targets (11.7) within this goal addresses the safe and inclusive accessibility of public spaces considering also vulnerable social groups. This discussion paper reviews UN metadata reports and investigates the advantages of considering a spatial approach for SDG indicator 11.7. 1 to be more informative. We argue that there are two crucial characteristics of this geospatial approach for global monitoring and assessment: transferability and automation. As a data source with high potential in global assessment, remote sensing is acknowledged to be useful and widely available but due to the lacking information extractable about ownership (public or private space), additional fieldwork is also necessary, which hinders automation and makes transferability time-and resource-consuming. Based on the review of the SDG goals and recent literature, we therefore propose a new, spatially explicit SDG indicator on urban green access and lay down the foundations of a potential workflow for transferable and automated analysis relying on remote sensing and geo-social media data.
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Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
2021
Andreas Petutschnig, Bernd Resch, Stefan Lang, Clemens Havas
ISPRS International Journal of Geo-Information 10 (5), 323
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Authors:Andreas Petutschnig, Bernd Resch, Stefan Lang, Clemens Havas
Publication date:05/10/2021
Journal:ISPRS International Journal of Geo-Information
Volume:10
Issue:5
Pages:323
Publisher:MDPI
Description:Geo-social media data are widely used as a data source to model populations and processes in a variety of contexts. However, if the data do not adequately represent the population they are drawn from, analysis results will be biased. Unaddressed, these biases may lead to false interpretations and conclusions. In this paper, we propose a generic methodology for investigating the representativeness of geo-social media data for population groups of similar statistical predictive power based on reference data. The groups are designed to be spatially coherent regions with similar prediction errors. Based on these units, we investigate the influence of different socio-demographic covariates on the representativeness. We perform experiments based on over 1.6 billion tweets and 90 socio-demographic covariates. We demonstrate that Twitter data representativeness varies strongly over time and space. Our results show that densely populated areas tend to be underrepresented consistently in non-spatial models. Over time, some covariates like the number of people aged 20 years exhibit highly different effects on the prediction models, whereas others are much more stable. The spatial effects can most frequently be explained using spatial error models, indicating spatially related errors that indicate the necessity of additional covariates. Finally, we provide hints for interpreting the results of our approach for researchers using the concepts presented in this paper.
Cited by:7
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Evaluating PPGIS usability in a multi-national field study combining qualitative surveys and Eye-Tracking
2021
Mona Bartling, Bernd Resch, Sandra Trösterer, Anton Eitzinger
The Cartographic Journal 58 (2), 167-182
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Authors:Mona Bartling, Bernd Resch, Sandra Trösterer, Anton Eitzinger
Publication date:04/03/2021
Journal:The Cartographic Journal
Volume:58
Issue:2
Pages:167-182
Publisher:Taylor & Francis
Description:For designing qualitative interfaces for Public Participatory Geographic Information Systems (PPGIS), the user and use case should be clearly defined. However, PPGIS users may differ significantly, e.g. regarding their cultural background, IT-literacy, or interests. Studies examining varying user types and their impact on PPGIS usability are, however, lacking. In this paper, we analyse the user spectrum through conducting a usability study with 73 participants located in Colombia, Uganda and Austria. We combined a qualitative survey (conducted in all three countries) with an eye-tracking based survey (conducted only in Austria). Most of the usability issues arose due to inexperience in using interactive maps or applications other than social media. Based on the findings, we explored which user context information had an impact on which usability problem. With this, we designed an adaptation gradient that can be …
Cited by:7
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
2021
Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, A…
Science advances 7 (10), eabd6989
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Authors:Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, Andre T Nguyen, Fred S Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P Hanage, Alessandro Vespignani, Mauricio Santillana
Publication date:03/05/2021
Journal:Science advances
Volume:7
Issue:10
Pages:eabd6989
Publisher:American Association for the Advancement of Science
Description:Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and inconsistent transmission-containing strategies, outbreaks have continued to emerge across the United States. Until effective vaccines are widely deployed, curbing COVID-19 will require carefully timed nonpharmaceutical interventions (NPIs). A COVID-19 early warning system is vital for this. Here, we evaluate digital data streams as early indicators of state-level COVID-19 activity from 1 March to 30 September 2020. We observe that increases in digital data stream activity anticipate increases in confirmed cases and deaths by 2 to 3 weeks. Confirmed cases and deaths also decrease 2 to 4 weeks after NPI implementation, as measured by anonymized, phone-derived human mobility data. We propose a means of harmonizing these data streams to identify future COVID-19 outbreaks. Our results suggest that combining disparate …
Cited by:183
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
2021
Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, A…
Science advances 7 (10), eabd6989
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Authors:Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, Andre T Nguyen, Fred S Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P Hanage, Alessandro Vespignani, Mauricio Santillana
Publication date:03/05/2021
Journal:Science advances
Volume:7
Issue:10
Pages:eabd6989
Publisher:American Association for the Advancement of Science
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
2021
Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, A…
Science advances 7 (10), eabd6989
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Authors:Nicole E Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B Link, Andre T Nguyen, Fred S Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P Hanage, Alessandro Vespignani, Mauricio Santillana
Publication date:03/05/2021
Journal:Science advances
Volume:7
Issue:10
Pages:eabd6989
Publisher:American Association for the Advancement of Science
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Applying spatial video geonarratives and physiological measurements to explore perceived safety in Baton Rouge, Louisiana
2021
Alina Ristea, Michael Leitner, Bernd Resch, Judith Stratmann
International journal of environmental research and public health 18 (3), 1284
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Authors:Alina Ristea, Michael Leitner, Bernd Resch, Judith Stratmann
Publication date:02/01/2021
Journal:International journal of environmental research and public health
Volume:18
Issue:3
Pages:1284
Publisher:MDPI
Description:Spatial crime analysis, together with perceived (crime) safety analysis have tremendously benefitted from Geographic Information Science (GISc) and the application of geospatial technology. This research study discusses a novel methodological approach to document the use of emerging geospatial technologies to explore perceived urban safety from the lenses of fear of crime or crime perception in the city of Baton Rouge, USA. The mixed techniques include a survey, spatial video geonarrative (SVG) in the field with study participants, and the extraction of moments of stress (MOS) from biosensing wristbands. This study enrolled 46 participants who completed geonarratives and MOS detection. A subset of 10 of these geonarratives are presented here. Each participant was driven in a car equipped with audio recording and spatial video along a predefined route while wearing the Empatica E4 wristbands to measure three physiological variables, all of them linked by timestamp. The results show differences in the participants’ sentiments (positive or negative) and MOS in the field based on gender. These mixed-methods are encouraging for finding relationships between actual crime occurrences and the community perceived fear of crime in urban areas.
Cited by:9
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Opportunities and challenges of geospatial analysis for promoting urban livability in the era of big data and machine learning
2020
Anna Kovacs-Györi, Alina Ristea, Clemens Havas, Michael Mehaffy, Hartwig H Hochmair, Be…
ISPRS International Journal of Geo-Information 9 (12), 752
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Authors:Anna Kovacs-Györi, Alina Ristea, Clemens Havas, Michael Mehaffy, Hartwig H Hochmair, Bernd Resch, Levente Juhasz, Arthur Lehner, Laxmi Ramasubramanian, Thomas Blaschke
Publication date:12/15/2020
Journal:ISPRS International Journal of Geo-Information
Volume:9
Issue:12
Pages:752
Publisher:MDPI
Description:Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addressing current challenges of urban complex systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. Yet, by applying a purely data-driven approach, it is too easy to get lost in the ‘forest’ of data, and to miss the ‘trees’ of successful, livable cities that are the ultimate aim of urban planning. This paper assesses how geospatial data, and urban analysis, using a mixed methods approach, can help to better understand urban dynamics and human behavior, and how it can assist planning efforts to improve livability. Based on reviewing state-of-the-art research the paper goes one step further and also addresses the potential as well as limitations of new data sources in urban analytics to get a better overview of the whole ‘forest’ of these new data sources and analysis methods. The main discussion revolves around the reliability of using big data from social media platforms or sensors, and how information can be extracted from massive amounts of data through novel analysis methods, such as machine learning, for better-informed decision making aiming at urban livability improvement.
Cited by:44
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Urban emotion sensing beyond ‘affective capture’: Advancing critical interdisciplinary methods
2020
Jessica Pykett, Benjamin W Chrisinger, Kalliopi Kyriakou, Tess Osborne, Bernd Resch, Af…
International Journal of Environmental Research and Public Health 17 (23), 9003
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Authors:Jessica Pykett, Benjamin W Chrisinger, Kalliopi Kyriakou, Tess Osborne, Bernd Resch, Afroditi Stathi, Anna C Whittaker
Publication date:12/01/2020
Journal:International Journal of Environmental Research and Public Health
Volume:17
Issue:23
Pages:9003
Publisher:MDPI
Description:The use of mobile sensor methodologies in urban analytics to study ‘urban emotions’ is currently outpacing the science required to rigorously interpret the data generated. Interdisciplinary research on ‘urban stress’ could help inform urban wellbeing policies relating to healthier commuting and alleviation of work stress. The purpose of this paper is to address—through methodological experimentation—ethical, political and conceptual issues identified by critical social scientists with regards to emotion tracking, wearables and data analytics. We aim to encourage more dialogue between the critical approach and applied environmental health research. The definition of stress is not unambiguous or neutral and is mediated by the very technologies we use for research. We outline an integrative methodology in which we combine pilot field research using biosensing technologies, a novel method for identifying ‘moments of stress’ in a laboratory setting, psychometric surveys and narrative interviews on workplace and commuter stress in urban environments.
Cited by:16
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From urban stress to neurourbanism: how should we research city well-being?
2020
Jessica Pykett, Tess Osborne, Bernd Resch
Annals of the American Association of Geographers 110 (6), 1936-1951
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Authors:Jessica Pykett, Tess Osborne, Bernd Resch
Publication date:11/01/2020
Journal:Annals of the American Association of Geographers
Volume:110
Issue:6
Pages:1936-1951
Publisher:Routledge
Description:Urbanicity has long been associated with stress, anxiety, and mental disorders. A new field of neurourbanism addresses these issues, applying neuroscience laboratory methods to tackle global urban problems and promote happier and healthier cities. Exploratory studies have trialed psychophysiological measurement beyond laboratories, capitalizing on the availability of biosensing technologies to capture geo-located physiological markers of emotional responses to urban environments. This article reviews the emerging conceptual and methodological debates for urban stress research. City authorities increasingly favor new data-driven and technology-enabled approaches to governing smart cities, with the aim that governments will be enabled to pursue evidence-based urban well-being policies. Yet there are few signs that our cities are undergoing the transformative, structural changes necessary to promote …
Cited by:103
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Automated seeded latent dirichlet allocation for social media based event detection and mapping
2020
Cornelia Ferner, Clemens Havas, Elisabeth Birnbacher, Stefan Wegenkittl, Bernd Resch
Information 11 (8), 376
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Authors:Cornelia Ferner, Clemens Havas, Elisabeth Birnbacher, Stefan Wegenkittl, Bernd Resch
Publication date:07/25/2020
Journal:Information
Volume:11
Issue:8
Pages:376
Publisher:MDPI
Description:In the event of a natural disaster, geo-tagged Tweets are an immediate source of information for locating casualties and damages, and for supporting disaster management. Topic modeling can help in detecting disaster-related Tweets in the noisy Twitter stream in an unsupervised manner. However, the results of topic models are difficult to interpret and require manual identification of one or more “disaster topics”. Immediate disaster response would benefit from a fully automated process for interpreting the modeled topics and extracting disaster relevant information. Initializing the topic model with a set of seed words already allows to directly identify the corresponding disaster topic. In order to enable an automated end-to-end process, we automatically generate seed words using older Tweets from the same geographic area. The results of two past events (Napa Valley earthquake 2014 and hurricane Harvey 2017) show that the geospatial distribution of Tweets identified as disaster related conforms with the officially released disaster footprints. The suggested approach is applicable when there is a single topic of interest and comparative data available.
Cited by:25
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Developing a Citizen Social Science approach to understand urban stress and promote wellbeing in urban communities
2020
Jessica Pykett, Benjamin Chrisinger, Kalliopi Kyriakou, Tess Osborne, Bernd Resch, Afro…
Palgrave Communications 6 (1), 1-11
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Authors:Jessica Pykett, Benjamin Chrisinger, Kalliopi Kyriakou, Tess Osborne, Bernd Resch, Afroditi Stathi, Eszter Toth, Anna C Whittaker
Publication date:05/06/2020
Journal:Palgrave Communications
Volume:6
Issue:1
Pages:1-11
Publisher:Palgrave
Description:This paper sets out the future potential and challenges for developing an interdisciplinary, mixed-method Citizen Social Science approach to researching urban emotions. It focuses on urban stress, which is increasingly noted as a global mental health challenge facing both urbanised and rapidly urbanising societies. The paper reviews the existing use of mobile psychophysiological or biosensing within urban environments—as means of ‘capturing’the urban geographies of emotions. Methodological reflections are included on primary research using biosensing in a study of workplace and commuter stress for university employees in Birmingham (UK) and Salzburg (Austria) for illustrative purposes. In comparing perspectives on the conceptualisation and measurement of urban stress from psychology, neuroscience and urban planning, the difficulties of defining scientific constructs within Citizen Science are …
Cited by:68
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Spatiotemporal Event Detection: A Review
2020
Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jin…
International Journal of Digital Earth, 1-27
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Authors:Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang, Chaowei Yang
Publication date:03/07/2020
Journal:International Journal of Digital Earth
Pages:1-27
Publisher:Taylor & Francis
Description:The advancements of sensing technologies, including remote sensing, in situ sensing, social sensing, and health sensing, have tremendously improved our capability to observe and record natural and social phenomena, such as natural disasters, presidential elections, and infectious diseases. The observations have provided an unprecedented opportunity to better understand and respond to the spatiotemporal dynamics of the environment, urban settings, health and disease propagation, business decisions, and crisis and crime. Spatiotemporal event detection serves as a gateway to enable a better understanding by detecting events that represent the abnormal status of relevant phenomena. This paper reviews the literature for different sensing capabilities, spatiotemporal event extraction methods, and categories of applications for the detected events. The novelty of this review is to revisit the definition and …
Cited by:117
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Spatial Crime Distribution and Prediction for Sporting Events Using Social Media
2020
Alina Ristea, Mohammad Al Boni, Bernd Resch, Matthew S Gerber, Michael Leitner
International Journal of Geographical Information Science, 1-32
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Authors:Alina Ristea, Mohammad Al Boni, Bernd Resch, Matthew S Gerber, Michael Leitner
Publication date:02/07/2020
Journal:International Journal of Geographical Information Science
Pages:1-32
Publisher:Taylor & Francis
Description:Sporting events attract high volumes of people, which in turn leads to increased use of social media. In addition, research shows that sporting events may trigger violent behavior that can lead to crime. This study analyses the spatial relationships between crime occurrences, demographic, socio-economic and environmental variables, together with geo-located Twitter messages and their ‘violent’ subsets. The analysis compares basketball and hockey game days and non-game days. Moreover, this research aims to analyze crime prediction models using historical crime data as a basis and then introducing tweets and additional variables in their role as covariates of crime. First, this study investigates the spatial distribution of and correlation between crime and tweets during the same temporal periods. Feature selection models are applied in order to identify the best explanatory variables. Then, we apply localized …
Cited by:74
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Human-centric data science for urban studies
2019
Bernd Resch, Michael Szell
ISPRS International Journal of Geo-Information 8 (12), 584
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Authors:Bernd Resch, Michael Szell
Publication date:12/12/2019
Journal:ISPRS International Journal of Geo-Information
Volume:8
Issue:12
Pages:584
Publisher:MDPI
Description:Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have transitioned from data-scarce to data-rich environments. As a result, the field of geoinformatics is being reshaped and challenged to develop adequate data-driven methods. At the same time, the term "smart city" is increasingly being applied in urban planning, reflecting the aims of different stakeholders to create value out of the new data sets. However, many smart city research initiatives are promoting techno-positivistic approaches which do not account enough for the citizens’ needs. In this paper, we review the state of quantitative urban studies under this new perspective, and critically discuss the development of smart city programs. We conclude with a call for a new anti-disciplinary, human-centric urban data science, and a well-reflected use of technology and data collection in smart city planning. Finally, we introduce the papers of this special issue which focus on providing a more human-centric view on data-driven urban studies, spanning topics from cycling and wellbeing, to mobility and land use.
Cited by:31
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Spatial analysis of moments of stress derived from wearable sensor data
2019
Kalliopi Kyriakou, Bernd Resch
Advances in Cartography and GIScience of the ICA 2, 1-8
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Authors:Kalliopi Kyriakou, Bernd Resch
Publication date:11/06/2019
Journal:Advances in Cartography and GIScience of the ICA
Volume:2
Pages:1-8
Publisher:Copernicus GmbH
Description: Over the last years, we have witnessed an increasing interest in urban health research using physiological sensors. There is a rich repertoire of methods for stress detection using various physiological signals and algorithms. However, most of the studies focus mainly on the analysis of the physiological signals and disregard the spatial analysis of the extracted geo-located emotions. Methodologically, the use of hotspot maps created through point density analysis dominates in previous studies, but this method may lead to inaccurate or misleading detection of high-intensity stress clusters. This paper proposes a methodology for the spatial analysis of moments of stress (MOS). In a first step, MOS are identified through a rule-based algorithm analysing galvanic skin response and skin temperature measured by low-cost wearable physiological sensors. For the spatial analysis, we introduce a MOS ratio for the geo-located detected MOS. This ratio normalises the detected MOS in nearby areas over all the available records for the area. Then, the MOS ratio is fed into a hot spot analysis to identify hot and cold spots. To validate our methodology, we carried out two real-world field studies to evaluate the accuracy of our approach. We show that the proposed approach is able to identify spatial patterns in urban areas that correspond to self-reported stress.
Cited by:23
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Defining and Assessing Walkability: A Concept for an Integrated Approach Using Surveys, Biosensors and Geospatial Analysis
2019
Linda Dörrzapf, Anna Kovács-Győri, Bernd Resch, Peter Zeile
Urban development issues 62 (1), 5-15
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Authors:Linda Dörrzapf, Anna Kovács-Győri, Bernd Resch, Peter Zeile
Publication date:07/20/2019
Journal:Urban development issues
Volume:62
Issue:1
Pages:5-15
Publisher:Sciendo
Description:Walking as a transport mode is still often underrepresented in the overall transport system. Consequently, pedestrian mobility is usually not recorded statistically in the same manner as it is performed for motorised traffic which leads to an underestimation of its importance and positive effects on people and cities. However, the integration of walkability assessments is potentially a valuable complement in urban planning processes through considering important quantitative and qualitative aspects of walking in cities. Recent literature shows a variety of approaches involving discrepancies in the definition of walkability, the factors which contribute to it, and methods of assessing them. This paper provides a new understanding of the concept of walkability in the European context. Our approach relies on the extension of methodological competence in transportation, spatial planning and geography by linking new measurement methods for evaluating walkability. We propose an integrated approach to assessing walkability in a comprehensive methodology that combines existing qualitative and GIS-based methods with biosensor technologies and thus captures the perceptions and emotions of pedestrians. This results in an increased plausibility and relevance of the results of walkability analysis by considering the spatial environment and its effect on people.
Cited by:63
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Composition of Place: Towards a Compositional View of Functional Space
2019
Emmanuel Papadakis, Bernd Resch, Thomas Blaschke
Cartography and Geographic Information Science, 1-18
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Authors:Emmanuel Papadakis, Bernd Resch, Thomas Blaschke
Publication date:06/07/2019
Journal:Cartography and Geographic Information Science
Pages:1-18
Publisher:Taylor & Francis
Description:A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notion of place. However, these approaches give emphasis on either space or human meaning, or they mainly exist as concepts without practically proven usable artifacts. A partial answer to this problem was proposed by the function-based model that treats place as functional space. This paper focuses primarily on the level of composition, describing and formalizing it as a rule-based framework with the following objectives: (a) contribute to the formalization efforts of the …
Cited by:26
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Evaluating Urban Bicycle Infrastructures through Intersubjectivity of Stress Sensations Derived from Physiological Measurements
2019
Christian Werner, Bernd Resch, Martin Loidl
ISPRS International Journal of Geo-Information 8 (6), 265
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Authors:Christian Werner, Bernd Resch, Martin Loidl
Publication date:06/01/2019
Journal:ISPRS International Journal of Geo-Information
Volume:8
Issue:6
Pages:265
Publisher:Multidisciplinary Digital Publishing Institute
Description:A continued shift of human mobility towards sustainable and active mobility modes is a major concern for society in order to reduce the human contribution to climate change as well as to improve liveability and health in urban environments. For this change to succeed, non-motorized modes of transport need to become more attractive. Cycling can play a substantial role for short to medium distances, but perceived safety and stress levels are still major concerns for cyclists. Therefore, a quantitative assessment of cyclists’ stress sensations constitutes a valuable input for urban planning and for optimized routing providing low-stress routes. This paper aims to investigate stress sensations of cyclists through quantifying physiological measurements and their spatial correlation as an intersubjective indicator for perceived bikeability. We developed an automated workflow for stress detection and aggregation, and validated it in a case study in the city of Salzburg, Austria. Our results show that measured stress generally matches reported stress perception and can thus be considered a valuable addition to mobility planning processes.
Cited by:44
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Requirements for reliable and flexible smart grids as energy networks in smart cities
2019
Jan-Philipp Exner, Maximilian Derouet, Christian Linn, Dirk Werth
REAL CORP, 589-96
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Authors:Jan-Philipp Exner, Maximilian Derouet, Christian Linn, Dirk Werth
Publication date:04/04/2019
Journal:REAL CORP
Pages:589-96
Cited by:6
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Combining Machine-learning Topic Models and Spatio-temporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment (vol 45, pg 362, 2018)
2019
B Resch, F Uslander, C Havas
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 46 (1), 95-95
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Authors:B Resch, F Uslander, C Havas
Publication date:01/02/2019
Journal:CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE
Volume:46
Issue:1
Pages:95-95
Publisher:TAYLOR & FRANCIS INC
Cited by:5
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Performing social media: Artistic approaches to analyzing big data
2019
Tess Osborne, Emily Warner, Phil Ian Jones, Bernd Resch
GeoHumanities 5 (1), 282-294
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Authors:Tess Osborne, Emily Warner, Phil Ian Jones, Bernd Resch
Publication date:01/02/2019
Journal:GeoHumanities
Volume:5
Issue:1
Pages:282-294
Publisher:Routledge
Description:Using several performances undertaken as part of a public art residency, this article discusses creative and playful approaches to social media data. Four pieces are discussed to demonstrate how social media posts can be reappropriated and represented. In this project, geotagged Flickr images were used as a foundation for arts performances to give new meanings to the spaces where the social media post was tagged. This demonstrates a way to bridge the quantitative–qualitative divide through the use of geographic big data in art, enabling scholars to move beyond the visualizations of big data produced by GIScience.
Cited by:11
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Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors
2019
Günther Sagl, Bernd Resch, Andreas Petutschnig, Kalliopi Kyriakou, Michael Liedlgruber,…
Sensors 19 (20), 4448
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Authors:Günther Sagl, Bernd Resch, Andreas Petutschnig, Kalliopi Kyriakou, Michael Liedlgruber, Frank H Wilhelm
Publication date:01/01/2019
Journal:Sensors
Volume:19
Issue:20
Pages:4448
Publisher:Multidisciplinary Digital Publishing Institute
Description:Wearable sensors are increasingly used in research, as well as for personal and private purposes. A variety of scientific studies are based on physiological measurements from such rather low-cost wearables. That said, how accurate are such measurements compared to measurements from well-calibrated, high-quality laboratory equipment used in psychological and medical research? The answer to this question, undoubtedly impacts the reliability of a study’s results. In this paper, we demonstrate an approach to quantify the accuracy of low-cost wearables in comparison to high-quality laboratory sensors. We therefore developed a benchmark framework for physiological sensors that covers the entire workflow from sensor data acquisition to the computation and interpretation of diverse correlation and similarity metrics. We evaluated this framework based on a study with 18 participants. Each participant was equipped with one high-quality laboratory sensor and two wearables. These three sensors simultaneously measured the physiological parameters such as heart rate and galvanic skin response, while the participant was cycling on an ergometer following a predefined routine. The results of our benchmarking show that cardiovascular parameters (heart rate, inter-beat interval, heart rate variability) yield very high correlations and similarities. Measurement of galvanic skin response, which is a more delicate undertaking, resulted in lower, but still reasonable correlations and similarities. We conclude that the benchmarked wearables provide physiological measurements such as heart rate and inter-beat interval with an accuracy close to that of …
Cited by:27
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Assessing and Representing Livability through the Analysis of Residential Preference
2019
Anna Kovacs-Györi, Pablo Cabrera-Barona, Bernd Resch, Michael Mehaffy, Thomas Blaschke
Sustainability 11 (18), 4934
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Authors:Anna Kovacs-Györi, Pablo Cabrera-Barona, Bernd Resch, Michael Mehaffy, Thomas Blaschke
Publication date:01/01/2019
Journal:Sustainability
Volume:11
Issue:18
Pages:4934
Publisher:Multidisciplinary Digital Publishing Institute
Description:Livability reflects the quality of the person–environment relationship, namely how well the built environment or the available services in a city fulfill the residents’ needs and expectations. We argue that livability assessment can aid the implementation of certain New Urban Agenda (NUA) goals by providing a flexible way to assess urban environments and their quality. However, a reliable and transferable assessment framework requires the key elements of livability to be defined in such a way that measurable factors adequately represent the person–environment relationship. As an innovative approach, we determined key livability elements accordingly and asked over 400 residents worldwide to evaluate their urban environments using these parameters. Thereby, we could calibrate the livability assessment workflow by including personal aspects and identifying the most relevant livability factors through an ordinal regression analysis. Next, we performed relational-statistical learning in order to define the individual and combined contribution of these statistically significant factors to the overall livability of a place. We found that urban form and mobility-related factors tend to have the highest influence on residential satisfaction. Finally, we tested the robustness of the assessment by using geospatial analysis to model the livability for the city of Vienna, Austria. We concluded that the workflow allows for a reliable livability assessment and for further utilization in urban planning, improving urban quality by going beyond simple city rankings.
Cited by:59
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Detecting Moments of Stress from Measurements of Wearable Physiological Sensors
2019
Kalliopi Kyriakou, Bernd Resch, Günther Sagl, Andreas Petutschnig, Christian Werner, Da…
Sensors 19 (17), 3805
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Authors:Kalliopi Kyriakou, Bernd Resch, Günther Sagl, Andreas Petutschnig, Christian Werner, David Niederseer, Michael Liedlgruber, Frank H Wilhelm, Tess Osborne, Jessica Pykett
Publication date:01/01/2019
Journal:Sensors
Volume:19
Issue:17
Pages:3805
Publisher:Multidisciplinary Digital Publishing Institute
Description:There is a rich repertoire of methods for stress detection using various physiological signals and algorithms. However, there is still a gap in research efforts moving from laboratory studies to real-world settings. A small number of research has verified when a physiological response is a reaction to an extrinsic stimulus of the participant’s environment in real-world settings. Typically, physiological signals are correlated with the spatial characteristics of the physical environment, supported by video records or interviews. The present research aims to bridge the gap between laboratory settings and real-world field studies by introducing a new algorithm that leverages the capabilities of wearable physiological sensors to detect moments of stress (MOS). We propose a rule-based algorithm based on galvanic skin response and skin temperature, combing empirical findings with expert knowledge to ensure transferability between laboratory settings and real-world field studies. To verify our algorithm, we carried out a laboratory experiment to create a “gold standard” of physiological responses to stressors. We validated the algorithm in real-world field studies using a mixed-method approach by spatially correlating the participant’s perceived stress, geo-located questionnaires, and the corresponding real-world situation from the video. Results show that the algorithm detects MOS with 84% accuracy, showing high correlations between measured (by wearable sensors), reported (by questionnaires and eDiary entries), and recorded (by video) stress events. The urban stressors that were identified in the real-world studies originate from traffic congestion …
Cited by:256
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Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis (vol 11, e0162360, 2016)
2018
Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
PLOS ONE 13 (12)
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Authors:Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
Publication date:12/19/2018
Journal:PLOS ONE
Volume:13
Issue:12
Publisher:PUBLIC LIBRARY SCIENCE
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Correction: Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis
2018
Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
Plos one 13 (12), e0209722
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Authors:Rene Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf
Publication date:12/19/2018
Journal:Plos one
Volume:13
Issue:12
Pages:e0209722
Publisher:Public Library of Science
Description:The following information is missing from the Funding section: We would like to express our gratitude to the Austrian Science Fund (FWF) for supporting the project “The Scales and Structures of Intra-Urban Spaces”(reference number P29135-N29).
Cited by:1
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Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
2018
Ourania Kounadi, Bernd Resch, Andreas Petutschnig
Social Sciences 7 (10), 191
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Authors:Ourania Kounadi, Bernd Resch, Andreas Petutschnig
Publication date:10/01/2018
Journal:Social Sciences
Volume:7
Issue:10
Pages:191
Publisher:Multidisciplinary Digital Publishing Institute
Description:Inference attacks and protection measures are two sides of the same coin. Although the former aims to reveal information while the latter aims to hide it, they both increase awareness regarding the risks and threats from social media apps. On the one hand, inference attack studies explore the types of personal information that can be revealed and the methods used to extract it. An additional risk is that geosocial media data are collected massively for research purposes, and the processing or publication of these data may further compromise individual privacy. On the other hand, consistent and increasing research on location protection measures promises solutions that mitigate disclosure risks. In this paper, we examine recent research efforts on the spectrum of privacy issues related to geosocial network data and identify the contributions and limitations of these research efforts. Furthermore, we provide protection recommendations to researchers that share, anonymise, and store social media data or publish scientific results.
Cited by:27
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Beyond Spatial Proximity – Classifying Parks and Their Visitors in London based on Spatiotemporal and Sentiment Analysis of Twitter Data
2018
Anna Kovacs-Györi, Alina Ristea, Ronald Kolcsar, Bernd Resch, Alessandro Crivellari, Th…
ISPRS International Journal of Geo-Information 7 (9), 378
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Authors:Anna Kovacs-Györi, Alina Ristea, Ronald Kolcsar, Bernd Resch, Alessandro Crivellari, Thomas Blaschke
Publication date:09/01/2018
Journal:ISPRS International Journal of Geo-Information
Volume:7
Issue:9
Pages:378
Publisher:Multidisciplinary Digital Publishing Institute
Description:Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires and in situ observations, are usually time- and resource-consuming, while providing less transferable and only site-specific results. This paper presents an improved methodology of using social media (Twitter) data to extract spatial and temporal patterns of park visits for urban planning purposes, along with the sentiment of the tweets, focusing on frequent Twitter users. We analyzed the spatiotemporal park visiting behavior of more than 4000 users for almost 1700 parks, examining 78,000 tweets in London, UK. The novelty of the research is in the combination of spatial and temporal aspects of Twitter data analysis, applying sentiment and emotion extraction for park visits throughout the whole city. This transferable methodology thereby overcomes many of the limitations of traditional research methods. This study concluded that people tweeted mostly in parks 3–4 km away from their center of activity and they were more positive than elsewhere while doing so. In our analysis, we identified four types of parks based on their visitors’ spatial behavioral characteristics, the sentiment of the tweets, and the temporal distribution of the users, serving as input for further urban planning-related investigations.
Cited by:96
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A Geoprivacy by Design Guideline for Research Campaigns that Use Participatory Sensing Data
2018
Ourania Kounadi, Bernd Resch
Journal of Empirical Research on Human Research Ethics 13 (3), 203-222
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Authors:Ourania Kounadi, Bernd Resch
Publication date:07/01/2018
Journal:Journal of Empirical Research on Human Research Ethics
Volume:13
Issue:3
Pages:203-222
Publisher:SAGE Publications
Description:Participatory sensing applications collect personal data of monitored subjects along with their spatial or spatiotemporal stamps. The attributes of a monitored subject can be private, sensitive, or confidential information. Also, the spatial or spatiotemporal attributes are prone to inferential disclosure of private information. Although there is extensive problem-oriented literature on geoinformation disclosure, our work provides a clear guideline with practical relevance, containing the steps that a research campaign should follow to preserve the participants’ privacy. We first examine the technical aspects of geoprivacy in the context of participatory sensing data. Then, we propose privacy-preserving steps in four categories, namely, ensuring secure and safe settings, actions prior to the start of a research survey, processing and analysis of collected data, and safe disclosure of datasets and research deliverables.
Cited by:48
Resources:[PDF] from sagepub.com
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Emotionen für intelligente Städte: Die Urban Emotions Initiative als Beitrag zur digitalen Partizipation
2018
Peter Zeile, Bernd Resch
Transforming cities 3 (1), 49-53
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Authors:Peter Zeile, Bernd Resch
Publication date:03/05/2018
Journal:Transforming cities
Volume:3
Issue:1
Pages:49-53
Publisher:expert verlag
Description:Das von der DFG und dem FWF geförderte Projekt Urban Emotions versucht in einem experimentellen Ansatz, zwei Positionen zusammen zu bringen: Stehen auf der einen Seite neueste Methoden und Technologien aus den Bereichen Sensortechnologie, Geoinformatik, Wearables und Computerlinguistik, so sind die Ansprüche auf der anderen Seite in Bezug auf Partizipation, Gestaltungsprozesse und städtischem Leben innerhalb von Städten und Dörfern auf Planungsebene nicht nur digitaler Natur. Das Projekt soll helfen, die Disziplinen einander näher zu bringen und neue Sichtweisen auf den „Organismus Stadt“ zu entwickeln.
Cited by:1
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Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets
2018
Alina Ristea, Justin Kurland, Bernd Resch, Michael Leitner, Chad Langford
ISPRS International Journal of Geo-Information 7 (2), 43
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Authors:Alina Ristea, Justin Kurland, Bernd Resch, Michael Leitner, Chad Langford
Publication date:01/31/2018
Journal:ISPRS International Journal of Geo-Information
Volume:7
Issue:2
Pages:43
Publisher:Multidisciplinary Digital Publishing Institute
Description:Crowd-based events, such as football matches, are considered generators of crime. Criminological research on the influence of football matches has consistently uncovered differences in spatial crime patterns, particularly in the areas around stadia. At the same time, social media data mining research on football matches shows a high volume of data created during football events. This study seeks to build on these two research streams by exploring the spatial relationship between crime events and nearby Twitter activity around a football stadium, and estimating the possible influence of tweets for explaining the presence or absence of crime in the area around a football stadium on match days. Aggregated hourly crime data and geotagged tweets for the same area around the stadium are analysed using exploratory and inferential methods. Spatial clustering, spatial statistics, text mining as well as a hurdle negative binomial logistic regression for spatiotemporal explanations are utilized in our analysis. Findings indicate a statistically significant spatial relationship between three crime types (criminal damage, theft and handling, and violence against the person) and tweet patterns, and that such a relationship can be used to explain future incidents of crime.
Cited by:50
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Towards Geoprivacy Guidelines for Spatial Data
2018
Ourania Kounadi, Bernd Resch
Adjunct Proceedings of the 14th International Conference on Location Based Services, 20…
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Authors:Ourania Kounadi, Bernd Resch
Publication date:01/15/2018
Journal:Adjunct Proceedings of the 14th International Conference on Location Based Services
Pages:201-206
Publisher:ETH Zurich
Description:This paper proposes an approach towards practical privacy guidelines for the different stages of a research effort that collects and/or uses “sensitive” spatial data. Specifically, we focus on: a) initial tasks as prior to starting a survey, b) storing, anonymization, and assessment of datasets, and c) actions to eliminate disclosure from published data and deliverables or when datasets are shared with third parties.
Cited by:3
Resources:[PDF] from ethz.ch
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E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time
2017
Clemens Havas, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose …
Sensors 17 (12), 2766
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Authors:Clemens Havas, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose Luis Fernandez-Marquez, Tim Van Achte, Gunter Zeug, Maria Rosa Rosy Mondardini, Domenico Grandoni, Birgit Kirsch, Milan Kalas, Valerio Lorini, Stefan Rüping
Publication date:12/01/2017
Journal:Sensors
Volume:17
Issue:12
Pages:2766
Publisher:Multidisciplinary Digital Publishing Institute
Cited by:96
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A Statistical Test on the Local Effects of Spatially Structured Variance
2017
Rene Westerholt, Bernd Resch, Franz-Benjamin Mocnik, Dirk Hoffmeister
International Journal of Geographical Information Science, 1-30
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Authors:Rene Westerholt, Bernd Resch, Franz-Benjamin Mocnik, Dirk Hoffmeister
Publication date:11/30/2017
Journal:International Journal of Geographical Information Science
Pages:1-30
Publisher:Taylor & Francis
Description:Spatial variance is an important characteristic of spatial random variables. It describes local deviations from average global conditions and is thus a proxy for spatial heterogeneity. Investigating instability in spatial variance is a useful way of detecting spatial boundaries, analysing the internal structure of spatial clusters and revealing simultaneously acting geographic phenomena. Recently, a corresponding test statistic called ‘Local Spatial Heteroscedasticity’ (LOSH) has been proposed. This test allows locally heterogeneous regions to be mapped and investigated by comparing them with the global average mean deviation in a data set. While this test is useful in stationary conditions, its value is limited in a global heterogeneous state. There is a risk that local structures might be overlooked and wrong inferences drawn. In this paper, we introduce a test that takes account of global spatial heterogeneity in assessing …
Cited by:20
Resources:[PDF] from warwick.ac.uk
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Routing through Open Spaces – A Performance Comparison of Algorithms
2017
Stefan Hahmann, Jakob Miksch, Bernd Resch, Johannes Lauer, Alexander Zipf
Geo-spatial Information Science, 1-10
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Authors:Stefan Hahmann, Jakob Miksch, Bernd Resch, Johannes Lauer, Alexander Zipf
Publication date:11/25/2017
Journal:Geo-spatial Information Science
Pages:1-10
Publisher:Taylor & Francis
Description:Finding the shortest path through open spaces is a well-known challenge for pedestrian routing engines. A common solution is routing on the open space boundary, which causes in most cases an unnecessarily long route. A possible alternative is to create a subgraph within the open space. This paper assesses this approach and investigates its implications for routing engines. A number of algorithms (Grid, Spider-Grid, Visibility, Delaunay, Voronoi, Skeleton) have been evaluated by four different criteria: (i) Number of additional created graph edges, (ii) additional graph creation time, (iii) route computation time, (iv) routing quality. We show that each algorithm has advantages and disadvantages depending on the use case. We identify the algorithms Visibility with a reduced number of edges in the subgraph and Spider-Grid with a large grid size to be a good compromise in many scenarios.
Cited by:33
Resources:[PDF] from tandfonline.com
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Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues
2017
Matthias Bluemke, Bernd Resch, Clemens Lechner, René Westerholt, Jan-Philipp Kolb
Survey Research Methods 11 (3), 307-327
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Authors:Matthias Bluemke, Bernd Resch, Clemens Lechner, René Westerholt, Jan-Philipp Kolb
Publication date:10/20/2017
Journal:Survey Research Methods
Volume:11
Issue:3
Pages:307-327
Description:Geographic information science (GIScience) offers survey researchers a plethora of rapidly evolving research strategies and tools for data acquisition and analysis. However, the potential for incorporating geographic information systems (GIS) tools into traditional survey research has not yet been fully appreciated by survey researchers. In this article, we provide a comprehensive overview of recent advances and challenges in leveraging this potential. First, we present state-of-the-art applications of GIS tools in traditional survey research, drawing mainly on examples from psychological survey research (eg, socioecological psychology). We also discuss innovative GIS tools (eg, wearables) and GIScience methods (eg, citizen sensing) that expand the scope of traditional surveys. Second, we highlight a number of challenges and problems (eg, choice of spatial scale, statistical issues, privacy concerns) and-where possible-suggest remedies. With increasing awareness of the potential that GIS tools hold for survey research, and intensified dialogue between researchers from both sides, more fruitful collaboration appears within reach.
Cited by:41
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Nutzergenerierte Daten für Entscheidungsunterstützung in naher Echtzeit
2017
B. Resch
Kolbe, T., Bill, R. and Donaubauer, A. (eds.) (2017) Geoinformationssysteme 2017, 90-98
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Authors:B. Resch
Publication date:02/01/2017
Journal:Kolbe, T., Bill, R. and Donaubauer, A. (eds.) (2017) Geoinformationssysteme 2017
Pages:90-98
Publisher:Wichmann
Description:Die Erforschung von nutzergenerierten Daten als Basis für geografische Analysen ist seit etwa einem Jahrzehnt zu einem etablierten Forschungsbereich herangewachsen. Während frühe Ansätze einfache Analysemethoden (Cluster-Erkennung, Darstellung von Trajektorien, Ermittlung von zeitlichen Mustern, etc.) verfolgten, ist die Forschung in diesem Bereich mittlerweile komplexer und vielfältiger. Dieser Artikel stellt entsprechende aktuelle Forschungsvorhaben dar und stellt deren methodische Weiterentwicklung heraus. Unter Berücksichtigung der noch mangelnden Einbindbarkeit von nutzergenerierten Daten in zeitkritische Prozesse und Echtzeit-Workflows werden diese bisherigen Forschungsvorhaben erläutert. Abschließend werden grundlegende Schlussfolgerungen gezogen und mögliche Ansätze zur Adressierung der genannten Herausforderungen andiskutiert.
Cited by:2
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Mining and Correlating Traffic Events from Human Sensor Observations with Official Transport Data Using Self-organizing Maps
2016
Enrico Steiger, Bernd Resch, João Porto de Albuquerque, Alexander Zipf
Transportation Research Part C: Emerging Technologies 73, 91-104
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Authors:Enrico Steiger, Bernd Resch, João Porto de Albuquerque, Alexander Zipf
Publication date:12/31/2016
Journal:Transportation Research Part C: Emerging Technologies
Volume:73
Pages:91-104
Publisher:Pergamon
Description:Cities are complex systems, where related Human activities are increasingly difficult to explore within. In order to understand urban processes and to gain deeper knowledge about cities, the potential of location-based social networks like Twitter could be used a promising example to explore latent relationships of underlying mobility patterns. In this paper, we therefore present an approach using a geographic self-organizing map (Geo-SOM) to uncover and compare previously unseen patterns from social media and authoritative data. The results, which we validated with Live Traffic Disruption (TIMS) feeds from Transport for London, show that the observed geospatial and temporal patterns between special events (r = 0.73), traffic incidents (r = 0.59) and hazard disruptions (r = 0.41) from TIMS, are strongly correlated with traffic-related, georeferenced tweets. Hence, we conclude that tweets can be used as a proxy …
Cited by:39
Resources:[PDF] from warwick.ac.uk
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Microblog Emotion Classification by Computing Similarity in Text, Time, and Space
2016
Anja Summa, Bernd Resch, Geoinformatics–Z GIS, Michael Strube
Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality…
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Authors:Anja Summa, Bernd Resch, Geoinformatics–Z GIS, Michael Strube
Publication date:12/12/2016
Journal:Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media
Pages:153-162
Description:Most work in NLP analysing microblogs focuses on textual content thus neglecting temporal and spatial information. We present a new interdisciplinary method for emotion classification that combines linguistic, temporal, and spatial information into a single metric. We create a graph of labeled and unlabeled tweets that encodes the relations between neighboring tweets with respect to their emotion labels. Graph-based semi-supervised learning labels all tweets with an emotion.
Cited by:22
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Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network
2016
Tobias Törnros, Bernd Resch, Matthias Rupp, Hartmut Gündra
ISPRS International Journal of Geo-Information 5 (12), 219
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Authors:Tobias Törnros, Bernd Resch, Matthias Rupp, Hartmut Gündra
Publication date:11/24/2016
Journal:ISPRS International Journal of Geo-Information
Volume:5
Issue:12
Pages:219
Publisher:Multidisciplinary Digital Publishing Institute
Description:The district heating (DH) demand of various systems has been simulated in several studies. Most studies focus on the temporal aspects rather than the spatial component. In this study, the DH demand for a medium-sized DH network in a city in southern Germany is simulated and analyzed in a spatially explicit approach. Initially, buildings are geo-located and attributes obtained from various sources including building type, ground area, and number of stories are merged. Thereafter, the annual primary energy demand for heating and domestic hot water is calculated for individual buildings. Subsequently, the energy demand is aggregated on the segment level of an existing DH network and the water flow is routed through the system. The simulation results show that the distribution losses are overall the highest at the end segments (given in percentage terms). However, centrally located pipes with a low throughflow are also simulated to have high losses. The spatial analyses are not only useful when addressing the current demand. Based on a scenario taking into account the refurbishment of buildings and a decentralization of energy production, the future demand was also addressed. Due to lower demand, the distribution losses given in percentage increase under such conditions.
Cited by:14
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Urban Emotions and Cycling Experience – Enriching Traffic Planning for Cyclists with Human Sensor Data
2016
Peter Zeile, Bernd Resch, Martin Loidl, Andreas Petutschnig, Linda Dörrzapf
GI_Forum 2016 1, 204-216
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Authors:Peter Zeile, Bernd Resch, Martin Loidl, Andreas Petutschnig, Linda Dörrzapf
Publication date:07/01/2016
Journal:GI_Forum 2016
Volume:1
Pages:204-216
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:Even though much research has been conducted on the safety of cycling infrastructures, most previous approaches only make use of traditional and proven methods based upon datasets such as accident statistics, road infrastructure data, or questionnaires. Apart from typical surveys, which are known to face numerous limitations from a psychological and sociological viewpoints, the question of how perceived safety can best be assessed is still widely unexplored. Thus, this paper presents an approach for bio-physiological sensing to identify places in urban environments which are perceived as unsafe by cyclists. Specifically, a number of physiological parameters like ECG, skin conductance, skin temperature and heart rate variability are analysed to identify moments of stress. Together with data gathered through a People as Sensors app, these stress levels can be mapped to specific emotions. This method was …
Cited by:110
Resources:[PDF] from core.ac.uk
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Citizen-centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-time-linguistics Algorithm
2016
Bernd Resch, Anja Summa, Peter Zeile, Michael Strube
Urban Planning 1 (2)
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Authors:Bernd Resch, Anja Summa, Peter Zeile, Michael Strube
Publication date:01/01/2016
Journal:Urban Planning
Volume:1
Issue:2
Publisher:Cogitatio Press
Description:Traditional urban planning processes typically happen in offices and behind desks. Modern types of civic participation can enhance those processes by acquiring citizens’ ideas and feedback in participatory sensing approaches like “People as Sensors”. As such, citizen-centric planning can be achieved by analysing Volunteered Geographic Information (VGI) data such as Twitter tweets and posts from other social media channels. These user-generated data comprise several information dimensions, such as spatial and temporal information, and textual content. However, in previous research, these dimensions were generally examined separately in single-disciplinary approaches, which does not allow for holistic conclusions in urban planning. This paper introduces TwEmLab, an interdisciplinary approach towards extracting citizens’ emotions in different locations within a city. More concretely, we analyse tweets in three dimensions (space, time, and linguistics), based on similarities between each pair of tweets as defined by a specific set of functional relationships in each dimension. We use a graph-based semi-supervised learning algorithm to classify the data into discrete emotions (happiness, sadness, fear, anger/disgust, none). Our proposed solution allows tweets to be classified into emotion classes in a multi-parametric approach. Additionally, we created a manually annotated gold standard that can be used to evaluate TwEmLab’s performance. Our experimental results show that we are able to identify tweets carrying emotions and that our approach bears extensive potential to reveal new insights into citizens’ perceptions of the city.
Cited by:125
Resources:[PDF] from ssoar.info
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Twitter as an Indicator for Whereabouts of People? Correlating Twitter with UK Census Data
2015
Enrico Steiger, René Westerholt, Bernd Resch, Alexander Zipf
Computers, Environment and Urban Systems 54, 255-265
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Authors:Enrico Steiger, René Westerholt, Bernd Resch, Alexander Zipf
Publication date:11/30/2015
Journal:Computers, Environment and Urban Systems
Volume:54
Pages:255-265
Publisher:Pergamon
Description:Detailed knowledge regarding the whereabouts of people and their social activities in urban areas with high spatial and temporal resolution is still widely unexplored. Thus, the spatiotemporal analysis of Location Based Social Networks (LBSN) has great potential regarding the ability to sense spatial processes and to gain knowledge about urban dynamics, especially with respect to collective human mobility behavior. The objective of this paper is to explore the semantic association between georeferenced tweets and their respective spatiotemporal whereabouts. We apply a semantic topic model classification and spatial autocorrelation analysis to detect tweets indicating specific human social activities. We correlated observed tweet patterns with official census data for the case study of London in order to underline the significance and reliability of Twitter data. Our empirical results of semantic and spatiotemporal …
Cited by:203
Resources:[PDF] from academia.edu
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Exploration of Spatiotemporal and Semantic Clusters of Twitter Data Using Unsupervised Neural Networks
2015
Enrico Steiger, Bernd Resch, Alexander Zipf
International Journal of Geographical Information Science, 1-23
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Authors:Enrico Steiger, Bernd Resch, Alexander Zipf
Publication date:10/19/2015
Journal:International Journal of Geographical Information Science
Pages:1-23
Publisher:Taylor & Francis
Description:The investigation of human activity patterns from location-based social networks like Twitter is an established approach of how to infer relationships and latent information that characterize urban structures. Researchers from various disciplines have performed geospatial analysis on social media data despite the data’s high dimensionality, complexity and heterogeneity. However, user-generated datasets are of multi-scale nature, which results in limited applicability of commonly known geospatial analysis methods. Therefore in this paper, we propose a geographic, hierarchical self-organizing map (Geo-H-SOM) to analyze geospatial, temporal and semantic characteristics of georeferenced tweets. The results of our method, which we validate in a case study, demonstrate the ability to explore, abstract and cluster high-dimensional geospatial and semantic information from crowdsourced data.
Cited by:129
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Fusing Human and Technical Sensor Data: Concepts and Challenges
2015
Bernd Resch, Thomas Blaschke
SIGSPATIAL Special 7 (2), 29-35
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Authors:Bernd Resch, Thomas Blaschke
Publication date:09/17/2015
Journal:SIGSPATIAL Special
Volume:7
Issue:2
Pages:29-35
Publisher:ACM
Description:As geo-sensor webs have not grown as quickly as expected, new, alternative data sources have to be found for near real-time analysis in areas like emergency management, environmental monitoring, public health, or urban planning. This paper assesses the ability of human sensors, i.e., user-generated observations in a wide range of social networks, the mobile phone network, or micro-blogs, to complement geo-sensor networks. We clearly delineate the concepts of People as Sensors, Collective Sensing and Citizen Science. Furthermore, we point out current challenges in fusing data from technical and human sensors, and sketch future research areas in this field.
Cited by:13
Resources:[PDF] from sigspatial.org
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Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-sensor Information for Smart Cities
2015
Günther Sagl, Bernd Resch, Thomas Blaschke
Sensors 15 (7), 17013-17035
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Authors:Günther Sagl, Bernd Resch, Thomas Blaschke
Publication date:07/14/2015
Journal:Sensors
Volume:15
Issue:7
Pages:17013-17035
Publisher:Multidisciplinary Digital Publishing Institute
Description:In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today’s technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing). In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of …
Cited by:113
Resources:[HTML] from mdpi.com
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A Synchronous Distributed Cloud-based Virtual Reality Meeting System for Architectural and Urban Design
2014
Lei Sun, Tomohiro Fukuda, Bernd Resch
Frontiers of Architectural Research 3 (4), 348-357
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Authors:Lei Sun, Tomohiro Fukuda, Bernd Resch
Publication date:12/31/2014
Journal:Frontiers of Architectural Research
Volume:3
Issue:4
Pages:348-357
Publisher:Elsevier
Description:In the spatial design fields such as architectural design and urban design, a consensus-building process among a variety of stakeholders like project executors, architects, residents, users, and general citizens is required. New technological developments such as cloud computing and Virtual Design Studios (VDS) enable the creation of virtual meeting systems. This paper proposes an approach towards a synchronous distributed design meeting system. In this paper, in addition to sharing a 3D virtual space for a synchronous distributed type design meeting, we developed a prototype system that enables participants to sketch or make annotations and have discussions as well as add viewpoints to them. We applied these functions to evaluate an architectural design and urban landscape examination. In conclusion, the proposed method was evaluated as being effective and feasible. Yet, it shows a few shortcomings …
Cited by:26
Resources:[HTML] from sciencedirect.com
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Asynchronous Geospatial Processing: An Event‐Driven Push‐Based Architecture for the OGC Web Processing Service
2014
Rene Westerholt, Bernd Resch
Transactions in GIS (doi: 10.1111/tgis.12104)
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Authors:Rene Westerholt, Bernd Resch
Publication date:09/01/2014
Journal:Transactions in GIS
Issue:doi: 10.1111/tgis.12104
Description:Geospatial processing tasks like solar potential analyses or floodplain investigations within flood scenarios are often complex and deal with large amounts of data. If such analysis operations are performed in distributed web‐based systems, technical capabilities are mostly not sufficient. Major shortcomings comprise the potentially long execution times and the vast amount of messaging overhead that arise from common poll‐based approaches. To overcome these issues, an approach for an event‐driven architecture for web‐based geospatial processing is proposed within this article. First, this article presents a thorough qualitative discussion of different available technologies for push‐based notifications. The aim of this discussion is to find the most suitable push‐based messaging technologies for application with OGC Web Processing Services (WPS). Based on this, an event‐driven architecture for asynchronous …
Cited by:26
Resources:[PDF] from academia.edu
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Determination of Suitable Areas for the Generation of Wind Energy in Germany: Potential Areas of the Present and Future
2014
Valerie Blankenhorn, Bernd Resch
ISPRS International Journal of Geo-Information 3 (3), 942-967
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Authors:Valerie Blankenhorn, Bernd Resch
Publication date:09/01/2014
Journal:ISPRS International Journal of Geo-Information
Volume:3
Issue:3
Pages:942-967
Publisher:Multidisciplinary Digital Publishing Institute
Cited by:20
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Ein GIS-basierter Ansatz zur optimalen Standortfindung für dezentrale Speicher in Energienetzen
2014
Tobias Toernros, Günther Sagl, Bernd RESCH
Angewandte Geoinformatik 2014, 169-174
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Authors:Tobias Toernros, Günther Sagl, Bernd RESCH
Publication date:07/01/2014
Journal:Angewandte Geoinformatik
Volume:2014
Pages:169-174
Publisher:Wichmann Verlag, Heidelberg
Description:Die Energieproduktion unter verstärkter Einbindung erneuerbarer Energiequellen sowie der Energieverbrauch variieren zeitlich als auch räumlich. Um die resultierenden räumlichen und zeitlichen Lastschwankungen im Energienetz abzufedern, werden dezentrale Energiespeicher eingesetzt–die Bedeutung der geographischen Lage wird jedoch meist vernachlässigt. In diesem Artikel beschreiben wir einen GIS-basierten Ansatz um optimale Standorte für dezentrale Speicher in regionalen Energienetzen zu finden. Das sich in Entwicklung befindende GIS-basierte Modell beruht zurzeit auf OpenStreetMap (OSM) und anderen frei zugänglichen Daten–die Datenproblematik in der Energiesystemmodellierung wird ebenfalls kurz diskutiert. Weitere Modelleingangsparameter sind die geometrische und topologische Struktur des Energienetzes. Am Fallbeispiel der Stadt Sinsheim zeigen die Ergebnisse, dass sich die ermittelten Standorte und Kapazitäten der Wärmespeicher positiv auf das Lastverhalten im lokalen Wärmenetz und auf die zu versorgende Region auswirken können.
Cited by:4
Resources:[PDF] from berndresch.com
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Urban Emotions–Kontextuelle Emotionsinformationen für die Räumliche Planung auf Basis von Echtzeit-Humansensorik und Crowdsourcing-Ansätzen
2014
Peter Zeile, Bernd RESCH, Jan-Philipp Exner, Günther Sagl, Anja Summa
Angewandte Geoinformatik 2014
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Authors:Peter Zeile, Bernd RESCH, Jan-Philipp Exner, Günther Sagl, Anja Summa
Publication date:07/01/2014
Journal:Angewandte Geoinformatik
Volume:2014
Publisher:Wichmann Verlag, Heidelberg
Description:Wie der Mensch urbane Räume wahrnimmt, ist eine wesentliche Fragestellung für eine nachhaltige räumliche Planung. Der vorliegende Beitrag beschreibt die Intention des von der DFG geförderten Forschungsprojektes „Urban Emotions “. Dabei werden kurz die methodischen und inhaltlichen Verknüpfungen von smarten Technologien und der räumlichen Planung erläutert, die als Grundlage für die schon teilweise umgesetzten und zukünftigen Methoden innerhalb des Forschungsprojektes angedacht sind. Anhand einer Groundtruthing App nach dem „People as Sensor “-Konzeptes sowie einer Studie zur psychophysiologischen Messung von Reaktionen von Fahrradfahrern im städtischen Verkehr wird das Potenzial des Zusammenwachsen dieser Technologien ersichtlich. Die Vision dieses bürgerzentrierten Ansatzes, bei dem den Menschen als intelligenten Sensor eine tragende Rolle in der zukünftigen Stadtplanung zugeordnet wird, ist Forschungsgegenstand des Urban Emotions Projektes und Inhalt dieses Beitrages.
Cited by:14
Resources:[PDF] from academia.edu
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GIS-based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues
2014
Bernd Resch, Günther Sagl, Tobias Törnros, Andreas Bachmaier, Jan-Bleicke Eggers, Sebas…
ISPRS International Journal of Geo-Information 3 (2), 662-692
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Authors:Bernd Resch, Günther Sagl, Tobias Törnros, Andreas Bachmaier, Jan-Bleicke Eggers, Sebastian Herkel, Sattaya Narmsara, Hartmut Gündra
Publication date:05/09/2014
Journal:ISPRS International Journal of Geo-Information
Volume:3
Issue:2
Pages:662-692
Publisher:Multidisciplinary Digital Publishing Institute
Description:In the face of the broad political call for an “energy turnaround”, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future research avenues comprise the availability base data and their “geospatial awareness”, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public …
Cited by:212
Resources:[HTML] from mdpi.com
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Web-based 4D Visualization of Marine Geo-data using WebGL
2014
Bernd Resch, Ralf Wohlfahrt, Christoph Wosniok
Cartography and Geographic Information Science 41 (3), 235-247
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Authors:Bernd Resch, Ralf Wohlfahrt, Christoph Wosniok
Publication date:03/27/2014
Journal:Cartography and Geographic Information Science
Volume:41
Issue:3
Pages:235-247
Publisher:Taylor & Francis
Description:For marine logistics and maintenance of extensive and expensive marine engineering projects in the coastal zone, it is essential that institutions provide the public with relevant information in an easily understandable yet comprehensive manner over the web. A perennial challenge, however, has been the development of spatio-temporal (four-dimensional (4D)) geo-visualization algorithms to enable the integration of time-varying geo-information in map-based visualizations on the Internet. In this paper, we address the challenge of visualizing marine spatial data in web-based applications through a 4D visualization concept, focusing on usability criteria, performance parameters, the required implementation effort, and delivering a breath of spatial information that supports decision-making on multiple levels. We used Web Graphic Library (WebGL) to validate our concept through a prototypical implementation. In our …
Cited by:67
Resources:[PDF] from tandfonline.com
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Recent Literature in Cartography and Geographic Information Science
2014
Michael P Finn, Diana Thunen
Cartography and Geographic Information Science 41 (2), 179-192
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Authors:Michael P Finn, Diana Thunen
Publication date:03/15/2014
Journal:Cartography and Geographic Information Science
Volume:41
Issue:2
Pages:179-192
Publisher:Taylor & Francis
Description:Robinson, AC, AM MacEachren and RE Roth. 2011. Designing a web-based learning portal for geographic visualization and analysis in public health. Health Informatics Journal 17 (3): 191-208. Sui, D. and D. DeLyser. 2012. Crossing the qualitative-quantitative chasm I: Hybrid geographies, the spatial turn, and volunteered geographic information (VGI). Progress in Human Geography 36 (1): 111-124.
Cited by:10
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Live Geography: Fusing Data from Technical and Human Sensors
2014
Bernd Resch
Dagstuhl Reports - Geosensor Networks: Bridging Algorithms and Applications 3 (4), 29-30
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Authors:Bernd Resch
Publication date:03/01/2014
Journal:Dagstuhl Reports - Geosensor Networks: Bridging Algorithms and Applications
Volume:3
Issue:4
Pages:29-30
Publisher:Leibniz-Zentrum fuer Informatik
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User Experience Design in Professional Map-Based Geo-Portals
2013
Bernd RESCH, Bastian Zimmer
ISPRS International Journal of Geo-Information 2 (4), 1015-1037
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Authors:Bernd RESCH, Bastian Zimmer
Publication date:10/24/2013
Journal:ISPRS International Journal of Geo-Information
Volume:2
Issue:4
Pages:1015-1037
Publisher:MDPI AG
Description:We have recently been witnessing the growing establishment of map-centered web-based geo-portals on national, regional and local levels. However, a particular issue with these geo-portals is that each instance has been implemented in different ways in terms of design, usability, functionality, interaction possibilities, map size and symbologies. In this paper, we try to tackle these shortcomings by analyzing and formalizing the requirements for map-based geo-portals in a user experience based approach. First, we propose a holistic definition the term of a “geo-portal”. Then, we present our approach to user experience design for map-based geo-portals by defining the functional requirements of a geo-portal, by analyzing previous geo-portal developments, by distilling the results of our empirical user study to perform practically-oriented user requirements, and finally by establishing a set of user experience design guidelines for the creation of map-based geo-portals. These design guidelines have been extracted for each of the main components of a geo-portal, i.e., the map, the search dialogue, the presentation of the search results, symbologies, and other aspects. These guidelines shall constitute the basis for future geo-portal developments to achieve standardization in the user-experience design of map-based geo-portals.
Cited by:72
Resources:[HTML] from mdpi.com
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A GIS-based Concept for Solar Energetic Examination of New Building Projects
2013
Mareike Schoof, Bernd RESCH, Dorothea Ludwig
gis.SCIENCE 2013 (3), 97-103
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Authors:Mareike Schoof, Bernd RESCH, Dorothea Ludwig
Publication date:09/01/2013
Journal:gis.SCIENCE
Volume:2013
Issue:3
Pages:97-103
Description:As a consequence of a variety of geo-political and technical developments, we are currently witnessing an increasing commitment to renewable energy sources. In effect, communes react to these developments by undertaking solar energetic examinations of new building projects. However, current research solely focuses on solar potential assessment for existing structures. Furthermore, available software solutions do not consider relevant factors for decentralised energy generation right at the start of the analysis and planning procedures of new buildings and urban areas. This paper presents a concept for solar energetic examination of new building projects with special regard to communes’ needs. In a first step, we examined the particular requirements in communes. Then, we created a holistic GIS-based concept for supporting the planning process of new building projects and validated it in a prototypical realisation. Our results show that GIS is likely to be a linking element between different parties involved into the planning process for new building projects (not only for existing structures) such communal planners, infrastructure operators, energy producers and political decision makers.
Cited by:3
Resources:[PDF] from academia.edu
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Towards 4D Cartography‐Four-dimensional Dynamic Maps for Understanding Spatio-temporal Correlations in Lightning Events
2013
Bernd RESCH, Florian Hillen, Andreas Reimer, Wolfgang Spitzer
The Cartographic Journal 50 (3), 266-275
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Authors:Bernd RESCH, Florian Hillen, Andreas Reimer, Wolfgang Spitzer
Publication date:08/01/2013
Journal:The Cartographic Journal
Volume:50
Issue:3
Pages:266-275
Publisher:Maney Publishing
Description:While graphic variables in 2D maps have been extensively investigated, 4D cartography is still a widely unexplored field. In this paper, we investigate the usefulness of 4D maps (three spatial dimensions plus time) for cartographically illustrating spatio-temporal environmental phenomena. The presented approach focuses mostly on explorative research rather than on enhancement and extension of existing methods and principles. The user study described in the paper shows that 4D cartography is not a well-explored research area and that many experienced map users try to apply their knowledge from 2D maps to 4D dynamic visualisations. Thus, in order to foster the discussion within the community, we formulated several basic research questions for the area of 4D cartography, which range from methods for representing time in 4D visualisations and understanding the temporal context to finding generic methods …
Cited by:43
Resources:[PDF] from berndresch.com
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Semi-automatisierte Plausibilitätsprüfung in Citizen Science gestützten Naturbeobachtungen
2013
Clemens Jacobs, Bernd RESCH
Angewandte Geoinformatik 2013, 350-355
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Authors:Clemens Jacobs, Bernd RESCH
Publication date:07/01/2013
Journal:Angewandte Geoinformatik
Volume:2013
Pages:350-355
Publisher:Wichmann Verlag, Heidelberg
Description:1 Hintergrund Das Sammeln naturschutzrelevanter Daten, insbesondere Beobachtungen von Tier-und Pflanzenarten, durch interessierte Laien hat in den letzten Jahren einen großen Aufschwung erlebt. Eine besondere Rolle spielen hierbei webbasierte Portale, die die Infrastruktur zur Dateneingabe und-speicherung bereitstellen (SULLIVAN et al. 2009). Freiwillige können hier ihre Beobachtungen sammeln und mit anderen teilen. Ziel ist es häufig, interessierte Laien für Naturschutzthemen zu begeistern und sie für die aktive Mitarbeit zu gewinnen (CONRAD & HILCHEY 2011).
Cited by:4
Resources:[PDF] from gispoint.de
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Visuelle Analyse von Mobilfunkdaten zur Charakterisierung Urbaner Mobilität
2013
Guenther Sagl, Martin Loidl, Bernd RESCH
Geoinformationssysteme 2013, 72-79
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Authors:Guenther Sagl, Martin Loidl, Bernd RESCH
Publication date:04/01/2013
Journal:Geoinformationssysteme 2013
Pages:72-79
Publisher:Wichmann Verlag, Berlin
Description:Wo sich Menschenmassen in Raum und Zeit typischerweise aufhalten bzw. bewegen ist für viele Anwendungsgebiete relevant–speziell wenn signifikante Abweichungen von einem bekannten raum-zeitlichen Verhalten auftreten. Anwendungsgebiete für die derlei Information von Relevanz ist, umfassen Notfall-und Gefahrenmanagement, öffentliche Sicherheit, Standortbewertung und Standortfindung für Geschäftslokale, bis hin zu einem effizienteren Verkehrsmanagement.
Resources:[PDF] from berndresch.com
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Standardisierte Geosensornetzwerke für Umweltbeobachtung in naher Echtzeit
2013
Bernd RESCH
Geoinformationssysteme 2013, 260-264
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Authors:Bernd RESCH
Publication date:04/01/2013
Journal:Geoinformationssysteme 2013
Pages:260-264
Publisher:Wichmann Verlag, Berlin
Description:Die weit reichende Vision einer Art „digitalen Haut “(GROSS 1999) für unseren Planeten–also ein erdumspannendes Messnetzwerk–lässt für die kommenden Jahre einen starken Anstieg in Geo-Sensornetzwerk Implementierungen erwarten. Diese Entwicklung wird speziell getrieben durch die drastische Performanzsteigerung verbunden mit gleichzeitig rapide fallenden Kosten im Sensorbereich. Dies kann mittelfristig dazu beitragen, dass wir unsere Umwelt in Echtzeit sensorisch wahrnehmen und steuern können, wobei der hier verwendete Begriff „Echtzeit “nicht für eine scharf definierte zeitliche Verzögerung steht, sondern für ein aktuelles Bild der Umwelt in naher Echtzeit unter Einbindung von Live-Daten. Eine entscheidende technische Herausforderung ist derzeit allerdings, dass bestehende Sensor-Netzwerke derzeit meist in abgeschlossenen monolithischen Systemen aufgebaut sind. Dies hat zur Folge, dass Datenzugriff nur sehr eingeschränkt möglich ist, womit domänenübergreifende Nutzung von Sensormessungen verhindert wird (Resch et al. 2010). So messen zB regionale Verwaltungseinheiten Pegelstände und Durchflusswerte von städtischen Fließgewässern, um Hochwasserfrühwarnsysteme einzurichten, während Energieversorgungsunternehmen mit den gleichen Parametern Prognosen über die Nutzungskapazität ihrer Laufkraftwerke treffen. Durch die mangelnde Vernetzung dieser bestehenden Netzwerke auf Grund von verschiedenen Datenformaten, räumlichen Bezugssystemen, und Übertragungsprotokollen ist jedoch keine optimale Nutzung von Sensordaten möglich.
Cited by:4
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Towards the Live City – Paving the Way to Real-time Urbanism
2012
Bernd RESCH, Alexander Zipf, Euro Beinat, Philipp Breuss-Schneeweis, Marc Boher
International Journal On Advances in Intelligent Systems 5 (3 and 4), 470-482
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Authors:Bernd RESCH, Alexander Zipf, Euro Beinat, Philipp Breuss-Schneeweis, Marc Boher
Publication date:12/31/2012
Journal:International Journal On Advances in Intelligent Systems
Volume:5
Issue:3 and 4
Pages:470-482
Description:In contrast to projections, which stated that the wide-spread distribution of high-speed Internet connections would render geographical distance irrelevant, cities have recently gained importance in academic research. Yet, real-time monitoring of urban processes is widely unexplored. We present the concept of a Live City, in which the city is regarded as an actuated near real-time control system creating a feedback loop between the citizens, environmental monitoring systems, the city management and ubiquitous information services. After clarifying the term ‘live’–as opposed to common understanding of ‘real-time’–we identify four main barriers towards the implementation of the Live City: methodological issues, technical/technological problems, lacking quantification of economic revenues, and finally privacy and legislative questions. In this paper, we discuss those challenges and point out potential future research pathways towards the realisation of a Live City–ranging from sensor network developments, real-time quality assurance and new user interface paradigms to world-wide legislation measures, a standardised urban operating system and the idea of a ‘tuned’city.
Cited by:22
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NoSQL Suitability for SWE-enabled Sensing Architectures
2012
Bernd RESCH
, 47-48
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Authors:Bernd RESCH
Publication date:11/06/2012
Pages:47-48
Publisher:ACM
Description:The emergence of a variety of new sensing technologies including geo-sensor networks, cameras or RFID-based systems raises the need for efficient measurement data storage and retrieval. This paper illustrates the suitability of NoSQL databases for distributed geo-sensor webs. Amongst others, a specific advantage of NoSQL databases in SWE-based networks is that complex data structures can be directly mapped into the database. Concluding, it can be stated that NoSQL is a very good fit for SWE-based geo-sensor webs, but has its limitations in terms of standardised semantics.
Cited by:5
Resources:[PDF] from berndresch.com
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Ubiquitous Geo-Sensing for Context-Aware Analysis: Exploring Relationships between Environmental and Human Dynamics
2012
Günther Sagl, Thomas Blaschke, Euro Beinat, Bernd RESCH
Sensors 12 (7), 9800-9822
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Authors:Günther Sagl, Thomas Blaschke, Euro Beinat, Bernd RESCH
Publication date:07/18/2012
Journal:Sensors
Volume:12
Issue:7
Pages:9800-9822
Publisher:Molecular Diversity Preservation International
Description:Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another. Although such context-aware analysis can potentially enable a more holistic understanding of spatio-temporal processes, it is rarely documented in the scientific literature yet. In this paper we analyzed the collective human behavior in the context of the weather. We therefore explored the complex relationships between these two spatio-temporal phenomena to provide novel insights into the dynamics of urban systems. Aggregated mobile phone data, which served as a proxy for collective human behavior, was linked with the weather data from climate stations in the case study area, the city of Udine, Northern Italy. To identify and characterize potential patterns within the weather-human relationships, we developed a hybrid approach which integrates several spatio-temporal statistical analysis methods. Thereby we show that explanatory factor analysis, when applied to a number of meteorological variables, can be used to differentiate between normal and adverse weather conditions. Further, we measured the strength of the relationship between the ‘global’ adverse weather conditions and the spatially explicit effective variations in user-generated mobile network traffic for three distinct periods using the Maximal Information Coefficient (MIC). The analyses result in three spatially referenced maps of MICs which reveal interesting insights into collective human dynamics in the context of weather, but also initiate several new scientific challenges.
Cited by:47
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Pervasive Geo-security – A Lightweight Triple-A Approach to Securing Distributed Geo-service Infrastructures
2012
Bernd RESCH, Bernhard Schulz, Manfred Mittlboeck, Thomas Heistracher
International Journal of Digital Earth, 1-18
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Authors:Bernd RESCH, Bernhard Schulz, Manfred Mittlboeck, Thomas Heistracher
Publication date:04/04/2012
Journal:International Journal of Digital Earth
Pages:1-18
Publisher:Taylor & Francis Group
Description:Security has recently become a major concern in distributed geo-infrastructures for spatial data provision. Thus, a lightweight approach for securing distributed low-power environments such as geo-sensor networks is needed. The first part of this article presents a survey of current security mechanisms for authentication and authorisation. Based on this survey, a lightweight and scalable token-based security infrastructure was developed, which is tailored for use in distributed geo-web service infrastructures. The developed security framework comprises dedicated components for authentication, rule-based authorisation and optimised storage and administration of access rules. For validation purposes, a prototypical implementation of the approach has been created.
Cited by:6
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On-the-fly Sensor Fusion for Real-time Data Integration
2012
Bernd RESCH
Geoinformatik 2012 Conference, 28-30 March 2012, Braunschweig, Germany, 229-236
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Authors:Bernd RESCH
Publication date:03/01/2012
Journal:Geoinformatik 2012 Conference, 28-30 March 2012, Braunschweig, Germany
Pages:229-236
Publisher:Shaker
Description:A key requirement for performing meaningful geographic information analysis processes is high quality of the underlying data. Quality criteria for geodata comprise accuracy, completeness and up-to-dateness. While the first two parameters have recently received a lot of attention, the up-to-dateness parameter is still widely neglected, but is rapidly gaining importance. Thus, a mechanism for integration of sensor measurements and other live data has to be created, which combines different data sources in real time. This paper presents an on-the-fly sensor fusion method including its implementation. The proposed solution shows several advantages versus existing approaches such as elimination of bottlenecks, optimised workflow efficiency, as well as broad interoperability on data and on service levels.
Cited by:5
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Live Cities and Urban Services-A Multi-dimensional Stress Field between Technology, Innovation and Society
2012
Bernd RESCH, Alexander Zipf, Philipp Breuss-Schneeweis, Euro Beinat, Marc Boher
, 28-34
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Authors:Bernd RESCH, Alexander Zipf, Philipp Breuss-Schneeweis, Euro Beinat, Marc Boher
Publication date:01/30/2012
Pages:28-34
Description:Contrary to projections, which stated that the wide-spread distribution of high-speed Internet connections would render geographical distance irrelevant, cities have recently become the centre of interest in academic research. However, especially real-time monitoring of urban processes is widely unexplored. We present the concept of a Live City, in which the city is regarded as an actuated near real-time control system creating a feedback loop between the citizens, environmental monitoring systems, the city management and ubiquitous information services. Basically, there are four main barriers towards the implementation of the Live City: methodological issues, technical/technological problems, privacy and legislative questions, and quantification of economic opportunities. In this paper, we discuss those challenges and point out potential future research pathways towards the realisation of a Live City.
Cited by:9
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Standardised Geo-sensor Webs and Web-based Geo-processing for Near Real-time Situational Awareness in Emergency Management
2012
Guenther Sagl, Bernd RESCH, Manfred Mittlboeck, Barbara Hochwimmer, Michael Lippautz, C…
International Journal of Business Continuity and Risk Management (IJBCRM), Special Issu…
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Authors:Guenther Sagl, Bernd RESCH, Manfred Mittlboeck, Barbara Hochwimmer, Michael Lippautz, Cornelius Roth
Publication date:01/01/2012
Journal:International Journal of Business Continuity and Risk Management (IJBCRM), Special Issue on "Emergency Information Systems - Information Management Before, During, and After Crisis Events"
Volume:3
Issue:4
Pages:339-358
Publisher:Inderscience Publishers
Description:Up-to-date, accurate, and reliable information is fundamental for time-critical decision support and sustainable emergency management. In this paper, we show how standardised geo-sensor webs, in combination with web-based geo-processing, can enhance efficiency in emergency response and management, demonstrated in the field of radiation safety. We focus on end user and information requirements and show how ‘live’ spatial-temporal analysis results of near real-time and mobile radioactive radiation sensor measurements can enhance the situational awareness of rescue forces for near real-time decision support. We validated our approach technically and methodologically through a radiation safety exercise. The end user feedback confirmed that this ‘live’ workflow can enhance the decision support and the emergency information management through near real-time situation awareness during and after …
Cited by:14
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Crowdsourcing, Citizen Sensing and Sensor Web Technologies for Public and Environmental Health Surveillance and Crisis Management: Trends, OGC Standards and Application Examples
2011
Maged N Kamel Boulos, Bernd RESCH, David N Crowley, John G Breslin, Gunho Sohn, Russ Bu…
International Journal of Health Geographics 10 (1), 1-29
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Authors:Maged N Kamel Boulos, Bernd RESCH, David N Crowley, John G Breslin, Gunho Sohn, Russ Burtner, William A Pike, Eduardo Jezierski, Kuo-Yu S Chuang
Publication date:12/21/2011
Journal:International Journal of Health Geographics
Volume:10
Issue:1
Pages:1-29
Publisher:BioMed Central Ltd
Description:'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in 2005, two years earlier than Goodchild's term 'Volunteered Geographic Information'. Six years later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged, crowdsourced 'Wikipedias of the Earth' par excellence, with millions of users contributing their own layers to GE, attaching photos, videos, notes and even 3-D (three dimensional) models to locations in GE. From using Twitter in participatory sensing and bicycle-mounted sensors in pervasive environmental sensing, to creating a 100,000-sensor geo-mashup using Semantic Web technology, to the 3-D visualisation of indoor and outdoor surveillance data in real-time and the development of next-generation, collaborative natural user interfaces that will power the spatially-enabled public health and emergency situation rooms of the future, where sensor …
Cited by:665
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Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems – An Overview
2011
Thomas Blaschke, Geoffrey J Hay, Qihao Weng, Bernd RESCH
Remote Sensing 3 (8), 1743-1776
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Authors:Thomas Blaschke, Geoffrey J Hay, Qihao Weng, Bernd RESCH
Publication date:08/19/2011
Journal:Remote Sensing
Volume:3
Issue:8
Pages:1743-1776
Publisher:Molecular Diversity Preservation International
Cited by:185
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Live Geography: Interoperable Geo-sensor Webs Facilitating the Vision of Digital Earth
2011
Bernd RESCH, Thomas Blaschke, Manfred Mittlboeck
International Journal on Advances in Networks and Services 3 (3 and 4), 323-332
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Authors:Bernd RESCH, Thomas Blaschke, Manfred Mittlboeck
Publication date:04/06/2011
Journal:International Journal on Advances in Networks and Services
Volume:3
Issue:3 and 4
Pages:323-332
Description:In the last decade, rapidly declining sensor costs and intense research in sensor technologies lead to the deployment of a number of sensor networks. However, most of these sensor networks are monolithic stovepipe-like systems causing limited interoperability and reusability of both data and workflow components. We present a Live Geography approach which integrates real-time measurement data in a fully standardised infrastructure and couples it with Complex Event Processing (CEP). We demonstrate the interoperability of this geo-sensor web approach and the resulting high degree of flexibility and portability beyond single monitoring applications generally and for five concrete real-world implementations in different application fields. We prove that the Live Geography approach allows for reacting to observed changes through sophisticated embedded processing based on OGC standards such as Sensor Observation Service (SOS) and Sensor Alert Service (SAS). Finally, we discuss how this approach contributes to the vision of Digital Earth as described by Al Gore in 1998 and how it contributes to monitor continuously the status of the environment, of urban infrastructure and the location and health conditions of persons to support an understanding of dynamic processes, to enhance prediction of developments, and to serve Spatial Decision Support Systems.
Cited by:34
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Near Real-Time Geo-Analyses for Emergency Support: A Radiation Safety Exercise
2011
Guenther Sagl, Michael Lippautz, Bernd RESCH, Manfred Mittlboeck
14th AGILE International Conference on Geographic Information Science, Utrecht, The Net…
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Authors:Guenther Sagl, Michael Lippautz, Bernd RESCH, Manfred Mittlboeck
Publication date:04/01/2011
Journal:14th AGILE International Conference on Geographic Information Science, Utrecht, The Netherlands, 18-21 April 2011
Description:A variety of well-established emergency support systems are employed for measuring and monitoring potential physical and chemical hazards such as radioactive radiation or toxic gases. Within such systems real-time data from in-situ geo-sensor networks play a crucial role. The exchange of real-time data and, indeed, their integration into heterogeneous systems across different rescue organizations such as fire-fighters or military are significant time critical factors in the decision making process. Proprietary data formats and interfaces are often the major problem within this integration. We therefore use open and international standards in an entirely service oriented workflow, from sensor-data acquisition to visualisation and dissemination of newly generated information. Previous work in the field of geo-processing based on the Open Geospatial Consortium (OGC) Web Processing Service (WPS) includes, for example, application related to water quality (Ninsawat et al., 2008), bomb threat scenarios (Stollberg and Zipf, 2007) etc. Although the current WPS 1.0. 0 specification (Schut, 2007) has clear weak-points, for example its unlimited scope and lack on restrictions (Michaelis and Ames, 2009; Stollberg and Zipf, 2007), or missing asynchronous processing (Resch et al., 2010b), it is the only established web-based processing standard in the geospatial domain. We therefore implement only mandatory elements of the OGC WPS 1.0. 0. Interface.
Cited by:16
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Geo-Monitoring – Kernbaustein für räumliche Wissensgenerierung in Geoinformationsinfrastrukturen
2011
Manfred Mittlboeck, Bernd RESCH, Markus Eisl, Guenther Sagl, Michael Lippautz
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2011) Angewandte Geoinformatik 2011, 7…
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Authors:Manfred Mittlboeck, Bernd RESCH, Markus Eisl, Guenther Sagl, Michael Lippautz
Publication date:01/01/2011
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2011) Angewandte Geoinformatik 2011
Pages:750-755
Publisher:Wichmann Verlag, Heidelberg
Description:Geographische Ressourcen (definiert als räumliche Datensätze und Services) sowie deren Anwendung (z. B. in Navigation, Social Web) haben sich zu wesentlichen Bestandteilen der Informationsgesellschaft entwickelt. Standardisierte und interoperabel organisierte geographische Infrastrukturen fungieren dabei als Gesamtheit an Systemen, Strukturen und Prozessen (SENKLER et. al. 2003), die die Nutzung von räumlichen Ressourcen in serviceorientierten Architekturen ermöglichen. Mit der Festlegung und Einhaltung von organisatorischen Strategien, der Anwendung breit anerkannter Standards, Normen Technologien, Protokollen und Spezifikationen ist es Ziel, gemeinsame Systeme zu definieren, die das Auffinden, die Evaluierung und die adäquate Verwendung von Geoinformation unterstützen. Nach BARTELME (2005) verstehen wir unter räumlicher Information in Geoinformationsinfrastrukturen im Gegensatz zu anderen Wissenschaftsdisziplinen kontextbezogene Inhalte, die Antworten auf räumliche Fragestellungen liefern. Diese Informationsebenen besitzen strukturelle und syntaktische Aspekte, formulieren die inhaltliche Semantik und weisen auf einen spezifischen Anwendungskontext (Pragmatik). Kombiniert, vergleicht und analysiert man nun diese räumlichen Inhalte kann neues Wissen generiert werden. Angestrebt wird mit integriertem nahzeitliches (in situ) Geomonitoring das Wissen um die aktuelle Lage entscheidend zu verbessern.
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“People as Sensors” Mittels Personaliserten Geo-Trackings
2011
Bernd RESCH, Manfred Mittlboeck, Simon Kranzer, Günther Sagl, Thomas Heistracher, Thoma…
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2011) Angewandte Geoinformatik 2011, 6…
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Authors:Bernd RESCH, Manfred Mittlboeck, Simon Kranzer, Günther Sagl, Thomas Heistracher, Thomas Blaschke
Publication date:01/01/2011
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2011) Angewandte Geoinformatik 2011
Pages:682-687
Publisher:Wichmann Verlag, Heidelberg
Description:„People as Sensors “bezeichnet ein Messmodell, in dem nicht nur geeichte Messgeräte Daten liefern, sondern auch Menschen subjektive „Messungen “wie Sinneseindrücke, Empfindungen oder persönliche Beobachtungen beitragen. So können Menschen als Sensoren mit kontextueller Intelligenz und umfassendem lokalen Wissen fungieren, um Entscheidungsunterstützungsprozesse durch individuelle Information zu erweitern. Die gegenständliche Publikation beschreibt die Konzeption und Umsetzung einer mobilen Applikation für People as Sensors bestehend aus Komponenten für Datenaufnahme, Messdatenintegration sowie deren Bereitstellung für weiterführende Analyse-und Visualisierungssystem. Mithilfe des entwickelten Systems können subjektive Beobachtungen mit objektiven Messdaten von geeichten Sensoren verschnitten werden, um die Datenbasis für Entscheidungsunterstützung in verschiedenen Bereichen wie Sicherheitsmanagement, Gesundheitsmanagement, Stadtplanung, Verkehrsmanagement etc. zu erweitern.
Cited by:7
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Pervasive Monitoring – An Intelligent Sensor Pod Approach for Standardised Measurement Infrastructures
2010
Bernd RESCH, Manfred Mittlboeck, Michael Lippautz
Sensors - Special Issue ‘Intelligent Sensors' 10 (12), 11440-11467
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Authors:Bernd RESCH, Manfred Mittlboeck, Michael Lippautz
Publication date:12/13/2010
Journal:Sensors - Special Issue ‘Intelligent Sensors'
Volume:10
Issue:12
Pages:11440-11467
Publisher:Molecular Diversity Preservation International
Description:Geo-sensor networks have traditionally been built up in closed monolithic systems, thus limiting trans-domain usage of real-time measurements. This paper presents the technical infrastructure of a standardised embedded sensing device, which has been developed in the course of the Live Geography approach. The sensor pod implements data provision standards of the Sensor Web Enablement initiative, including an event-based alerting mechanism and location-aware Complex Event Processing functionality for detection of threshold transgression and quality assurance. The goal of this research is that the resultant highly flexible sensing architecture will bring sensor network applications one step further towards the realisation of the vision of a “digital skin for planet earth”. The developed infrastructure can potentially have far-reaching impacts on sensor-based monitoring systems through the deployment of ubiquitous and fine-grained sensor networks. This in turn allows for the straight-forward use of live sensor data in existing spatial decision support systems to enable better-informed decision-making.
Cited by:40
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Distributed Web-processing for Ubiquitous Information Services – OGC WPS Critically Revisited
2010
Bernd RESCH, Guenther Sagl, Thomas Blaschke, Manfred Mittlboeck
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Authors:Bernd RESCH, Guenther Sagl, Thomas Blaschke, Manfred Mittlboeck
Publication date:09/17/2010
Cited by:12
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Live Geography – Interoperable Geo-Sensor Webs Enabling Portability in Monitoring Applications
2010
Bernd RESCH, Manfred Mittlboeck
, 74-79
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Authors:Bernd RESCH, Manfred Mittlboeck
Publication date:02/10/2010
Pages:74-79
Publisher:IEEE
Description:In the last decade, rapidly declining sensor costs triggered intense research in sensor technologies and vice versa. This fact led to the deployment of a number of sensor networks. However, these sensor networks tend to be deployed in monolithic stovepipe-like systems, limiting interoperability and reusability of both data and workflow components. This paper presents the Live Geography approach, which stands for the integration of real-time measurement data in a fully standardised infrastructure. A particular focus of this paper is dedicated to interoperable geo-sensor webs featuring a high degree of flexibility and portability can be deployed in various monitoring use cases in a variety of application domains.
Cited by:6
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G2Real: Live Geo(mess)information für Mobile Einsatzkräfte
2010
Manfred Mittlboeck, Bernd RESCH, Michael Lippautz, Guenther Sagl
Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2010) Angewandte Geoinformatik 2010, 9…
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Authors:Manfred Mittlboeck, Bernd RESCH, Michael Lippautz, Guenther Sagl
Publication date:01/01/2010
Journal:Strobl, J., Blaschke, T., Griesebner, G. (Eds.) (2010) Angewandte Geoinformatik 2010
Pages:905-910
Publisher:Wichmann Verlag, Heidelberg
Description:Die einfache Integration von ‚live’Messinformation in verschiedene Einsatz-Informationsund Lagesysteme fokussiert, wenn implementiert stark auf spezifische Nutzungskontexte und ermöglicht daher nur sehr selten die freie Kombination von Information im Nutzer orientiertem Kontext. Für die optimale Reaktion im Rahmen der Sicherheits-und Gefahrenabwehr zielt das Projekt G2Real auf die standardisierte Aufbereitung und Integration von räumlichen Ressourcen. Die Integration mit ortsabhängiger pervasiver Computer Messsensorik. ermöglicht die standardisierte Bereitstellung von Umwelt-und Biometrie-Messinformation in naher Echtzeit. Dies ermöglicht die einfache direkte Integration der Messdaten über Open Geospatial Consortium (OGC) Sensor Observation Service bzw. in Kombination mit Hilfe mathematischer Interpolationsverfahren mit serviceorientierten Geo-Prozessierungstechnologien standardisiert als OGC Web-Map Service bzw. Web-Coverage in Einsatzleitsystem. Diese Konzeption basiert auf der, den verschiedenen Systemen gemeinsamen Kommunikationsebene des Internet Protokolls (IP) und ermöglicht somit die Einbindung in die verschiedenen Einsatzleitsysteme.
Cited by:4
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Urban Sensing Revisited – Common Scents: Towards Standardised Geo-sensor Networks for Public Health Monitoring in the City
2009
Bernd RESCH, Manfred Mittlboeck, Sam Lipson, Matt Welsh, Josh Bers, Rex Britter, Carlo …
Proceedings of the 11th International Conference on Computers in Urban Planning and Urb…
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Authors:Bernd RESCH, Manfred Mittlboeck, Sam Lipson, Matt Welsh, Josh Bers, Rex Britter, Carlo Ratti
Publication date:06/01/2009
Journal:Proceedings of the 11th International Conference on Computers in Urban Planning and Urban Management - CUPUM2009, Hong Kong, 16-18 June 2009
Cited by:36
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Real-time Geo-awareness – Sensor Data Integration for Environmental Monitoring in the City
2009
Bernd RESCH, Manfred Mittlboeck, Fabien Girardin, Rex Britter, Carlo Ratti
, 92-97
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Authors:Bernd RESCH, Manfred Mittlboeck, Fabien Girardin, Rex Britter, Carlo Ratti
Publication date:02/01/2009
Pages:92-97
Publisher:IEEE
Description:Environmental monitoring faces a variety of complex technical and socio-political challenges, particularly in the urban context. Data sources may be available, but mostly not combinable because of lacking interoperability and deficient coordination due to monolithic and closed data infrastructures. In this work we present the real-time geo-awareness approach that seeks to tackle these challenges with an open sensing infrastructure for monitoring applications. Our system makes extensive use of open (geospatial) standards throughout the entire process chain – from sensor data integration to analysis, and finally visualisation. Then, we show how the methodology can influence the city and its inhabitants by 'making the abstract real', in other words how pervasive environmental monitoring systems change urban social interactions, and which issues are related to establishing such systems.
Cited by:33
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An Approach Towards a Real-time Data Exchange Platform System Architecture
2008
Bernd RESCH, Francesco Calabrese, Assaf Biderman, Carlo Ratti
, 153-159
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Authors:Bernd RESCH, Francesco Calabrese, Assaf Biderman, Carlo Ratti
Publication date:03/17/2008
Pages:153-159
Publisher:IEEE
Cited by:29
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GMES: From Research Projects to Operational Environmental Monitoring Services
2007
T Blaschke, P Zeil, J Strobl, S Lang, D Tiede, M Möller, G Triebnig, C Schiller, M Mitt…
International Archives of Photogrammetry, Remote Sensing and Spatial Information Scienc…
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Authors:T Blaschke, P Zeil, J Strobl, S Lang, D Tiede, M Möller, G Triebnig, C Schiller, M Mittlböck, B RESCH
Publication date:05/29/2007
Journal:International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume:36
Issue:1/W51
Description:T. Blaschkea, b, d*, P. Zeila, J. Strobla, b, c, S. Langa, D. Tiedea, M. Möllerc, G. Triebnigd, C. Schillerd, M. Mittlböckd, B. Reschd a Z_GIS Centre for Geoinformatics, Salzburg University, Austria–(thomas. blaschke, peter. zeil, josef. strobl, stefan. lang, dirk. tiede)@ sbg. ac. at b Department of Geography and Geology, Salzburg University, Austria c Austrian Academy of Sciences, Geographic Information Science, Salzburg–matthias. moeller@ oeaw. ac. at d Austrian Research Centers (ARC), research studio iSPACE, Salzburg–(gerhard. triebnig, christian. schiller)@ arcs. ac. at;(manfred. mittlboeck, bernd. resch)@ researchstudio. at
Cited by:9
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Enabling Geographic Situational Awareness in Emergency Management
2007
Bernd RESCH, Dirk Schmidt, Thomas Blaschke
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Authors:Bernd RESCH, Dirk Schmidt, Thomas Blaschke
Publication date:05/15/2007
Cited by:25
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Global Positioning in Harsh Environments
2005
Bernd RESCH, Peter Romirer-Maierhofer
Halmstad University, Halmstad (Sweden)
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Authors:Bernd RESCH, Peter Romirer-Maierhofer
Publication date:01/01/2005
Journal:Halmstad University, Halmstad (Sweden)
Description:Team Members: Bernd Resch Peter Romirer-Maierhofer Institution: Halmstad University, January 2005 Programme of Study: Master’s programme for computer systems engineering or electrical engineering
Cited by:15
Resources:[PDF] from diva-portal.org
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Wellbeing, Space and Society
Jan Mikuni, Margot Dehove, Linda Dörrzapf, Martin Karl Moser, Bernd Resch, Pia Böhm, Ka…
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Authors:Jan Mikuni, Margot Dehove, Linda Dörrzapf, Martin Karl Moser, Bernd Resch, Pia Böhm, Katharina Prager, Nikita Podolin, Elisabeth Oberzaucher, Helmut Leder
Description:Promoting urban well-being is a significant societal task in the context of rapid urbanization. Past research has highlighted that interaction with urban green spaces, such as parks and forests, is key in promoting urban wellbeing. However, there is limited knowledge regarding the potential in promoting well-being from non-nature elements. In the present study, we explored whether interacting with art could enhance well-being in urban street contexts. In our field experiment, we built two interventions on urban streets, decorating them with either laminated art prints or green elements. We measured subjective and physiological well-being before and after the interaction with the interventions. With this paradigm, we assessed if, not only green, but also artistic interventions can improve well-being. Our results showed that, after interacting with the artistic intervention in an urban environment, the participants reported reduced feelings of anxiety, stress, and negative mood as they did with the green intervention. Further, our results indicate that improvements in well-being were linked to participants’ evaluations of the testing location (restorativeness), of aesthetic quality of the intervention (eg, beauty, meaningfulness), and of their overall experience (eg, enjoyment). These findings have significant implications in promoting urban well-being and city planning, as they highlight the potential of art as a novel tool for enhancing urban well-being.
Resources:[PDF] from univie.ac.at
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Analyse und Generierung von Straßennetzwerken mittels graphenbasierter Methoden
Bernd Resch, Michael Szell
ISPRS International Journal of Geo-Information 2019, 211
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Authors:Bernd Resch, Michael Szell
Journal:ISPRS International Journal of Geo-Information
Volume:2019
Pages:211
Publisher:Verlag der Bauhaus-Universit {" a} t Weimar
Description:{Der vorliegende Beitrag ist in zwei thematische Teilebereiche gegliedert. Der erste Teil besch {" a} ftigt sich mit der Analyse von Graphen, insbesondere von Graphen, die Straßennetzwerke repr {" a} sentieren. Hierzu werden Methoden aus der Graphentheorie angewendet und Kenngr {" o} ßen aus der Space Syntax Methode ausgewertet. Ein Framework, welches basierend auf der Graphentheorie in Architektur und Stadtplanung Einzug gehalten hat, ist die Space Syntax Methode. Sie umfasst die Ableitung unterschiedlicher Kenngr {" o} ßen eines Graphen bzw. Netzwerkes, wodurch eine Analyse f {" u} r architektonische und stadtplanerische Zwecke erm {" o} glicht wird. Der zweite Teil dieses Berichts besch {" a} ftigt sich mit der Generierung von Graphen, insbe-sondere der von Straßennetzwerkgraphen. Die generativen Methoden basieren zum Teil auf den gewonnenen Erkenntnissen der Analyse von …
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Sentiment Analysis of Twitter Data
Anna Kovacs-Gyori, Alina Ristea, Clemens Havas, Bernd Resch, Pablo Cabrera-Barona
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Authors:Anna Kovacs-Gyori, Alina Ristea, Clemens Havas, Bernd Resch, Pablo Cabrera-Barona
Description:The dynamic nature of cities, understood as complex systems with a variety of concurring factors, poses significant challenges to urban analysis for supporting planning processes. This particularly applies to large urban events because their characteristics often contradict daily planning routines. Due to the availability of large amounts of data, social media offer the possibility for fine-scale spatial and temporal analysis in this context, especially regarding public emotions related to varied topics. Thus, this article proposes a combined approach for analyzing large sports events considering event days vs comparison days (before or after the event) and different user groups (residents vs visitors), as well as integrating sentiment analysis and topic extraction. Our results based on various analyses of tweets demonstrate that different spatial and temporal patterns can be identified, clearly distinguishing both residents and visitors, along with positive or negative sentiment. Furthermore, we could assign tweets to specific urban events or extract topics related to the transportation infrastructure. Although the results are potentially able to support urban planning processes of large events, the approach still shows some limitations including well-known biases in social media or shortcomings in identifying the user groups and in the topic modeling approach.
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Development of a Standardized, Interdisciplinary Approach for Evaluating the Impact of Infrastructural Interventions on Sustainable Mobility
Elisabeth Füssl, Jannik Riess, Martin Loidl, Steffen Reichelt, Bernd Resch, Florian Kra…
GI_Forum 2022, 10, 58-65
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Authors:Elisabeth Füssl, Jannik Riess, Martin Loidl, Steffen Reichelt, Bernd Resch, Florian Kratochwil
Journal:GI_Forum 2022,
Volume:10
Pages:58-65
Publisher:Verlag der Österreichischen Akademie der Wissenschaften
Description:There is currently no standardized methodology for evaluating the impacts of road infrastructure measures on different road-user groups or the mobility system. In the POSITIM project, we developed a standardized methodology that allows us to evaluate systemic and personal effects of infrastructural interventions. The evaluation criteria were safety, stress, smoothness, acceptance of the intervention, and mobility behaviour.
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UDI Volume 62 (June 2019)
Linda Dörrzapf, Anna Kovács-Győri, Bernd Resch, Peter Zeile
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Authors:Linda Dörrzapf, Anna Kovács-Győri, Bernd Resch, Peter Zeile
Description:Walking as a transport mode is still often underrepresented in the overall transport system. Consequently, pedestrian mobility is usually not recorded statistically in the same manner as it is performed for motorised traffic which leads to an underestimation of its importance and positive effects on people and cities. However, the integration of walkability assessments is potentially a valuable complement in urban planning processes through considering important quantitative and qualitative aspects of walking in cities. Recent literature shows a variety of approaches involving discrepancies in the definition of walkability, the factors which contribute to it, and methods of assessing them. This paper provides a new understanding of the concept of walkability in the European context. Our approach relies on the extension of methodological measurement methods for evaluating walkability. We propose an integrated approach …
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