Category: Research

  • Workshop on “spatial urban analytics with user-generated geodata”

    We’ve recently finalised the programme of a workshop on “spatial urban analytics with user-generated geographic information”. The event is conjoined with the 2017 International Conference at the Royal Geographical Society in London and is co-chaired by René Westerholt (GIScience Heidelberg). We received methodological as well as empirical contributions, which reflects the breadth of the complex…

  • Follow-up 3D-TAIGER meeting at National Cheng Kung University in Tainan

    Within the exchange and collaboration project 3D-TAIGER (Multi-Source 3D Geoinformation Extraction for Improved Management of Forest and Natural Hazards – Collaboration between TAIwan and GERmany), a further workshop took place in Tainan from Thursday, 06 April 2017 to Monday, 10 April 2017. Hosted by the National Cheng Kung University (NCKU) in Tainan, the schedule comprised…

  • DeepVGI at WWW2017 Perth

    Our group member Jiaoyan Chen attended the 26th World Wide Web Conference from 3 April to 7 April in Perth, Australia. The topic of the conference includes web-related machine learning, social network, knowledge base, crowdsourcing, urban data mining, etc. He gave a 30-minues presentation in the co-conference Big 2017 as well as a poster presentation…

  • Talk at AAG Meeting in Boston

    On Friday, our member René Westerholt held a talk at the Annual Meeting of the American Association of Geographers (AAG) in Boston. The talk which is entitled “Topological and scale-related issues in Twitter analyses through superimposed forms of spatial heterogeneity” was part of a special session on geographic data science organised by Alex Singleton from…

  • Seminar on “Spatial urban analytics” at Harvard

    Our team member René Westerholt recently held a joint session with Dr Guibo Sun from Hong Kong University. The session on “spatial urban analytics” was part of the Geography colloquium at Harvard University. Both talks were dealing with methodological issues. Thereby, René emphasised on technical issues in the spatial analysis of social media data. Dr…

  • Utilizing crowdsourced data for studies of cycling and air pollution

    Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and pedestrians. Strava Metro data has the potential to promote studies of cycling and health by indicating where…

  • Alexander von Humboldt PostDoc Fellowship for A. Yair Grinberger for Big Spatial Data Research in Heidelberg

    Asher Yair Grinberger (Jerusalem) has been awarded a prestigious Alexander von Humboldt PostDoc Fellowship. He will join the GIScience Research Group Heidelberg later this summer to work for two years on developing theory & methods related to Big Spatial Data. We are looking forward working with him in Heidelberg. But you have the chance to…

  • 10 Million Contributions: It’s time for MapSwipe Analytics!

    The MapSwipe App is widely used by many volunteers who donate their time and brain capacity to find buildings or roads on satellite imagery. Just recently we counted the 10,000,000th contribution! After only 6 months since MapSwipe was launched! The outcome of these efforts are mainly used by humanitarian organisations like MSF, Netherlands Red Cross…

  • NEOHAZ goes in the second round

    The NEOHAZ project will be funded by the Heidelberg Academy of Sciences and Humanities for a second phase till the end of 2018. This prolonging enables further research about the integration of implicit knowledge from non-scientists in disaster management. The findings and methods of the first part will be used within the context of a…

  • Towards evaluating the mobile crowdsourcing of geographic information about human settlements

    Geographic information crowdsourcing is an increasingly popular approach to derive geographic data about human settlements from remotely sensed imagery. However, crowdsourcing approaches are frequently associated with uncertainty about the quality of the information produced. Although previous studies have found acceptable quality of crowdsourced information in some application domains, there is still lack of research about…

  • A graph-based strategy for matching points-of-interests from different VGI sources

    Several urban studies have been increasingly relying on spatial data provided by Volunteered Geographic Information (VGI) sources. The matching of features across different VGI projects may serve to assess and improve the reliability and completeness of VGI data. In a recent study, we first provide a short discussion on the similarity measures often used for…

  • DGPF Annual Meeting 2017 – Visual impressions

    Three talks from GIScience Heidelberg were given at the Annual Meeting 2017 of the DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation) on 9 March 2017. Thanks a lot to Benni, Tomás and Sebastian for the very nice talks. More technical infos on the presented research can be found in the previous blog post…