Category: Research
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Call For Participation for Crowdsourced Damage Assessment Project
In the aftermath of a disaster, knowing the condition of buildings, infrastructure, and utilities is critical to both immediate response and long-term recovery efforts. The Humanitarian OpenStreetMap Team (HOT) is often asked to help identify damage to buildings and other assets in the affected region. In the past, limitations in post-disaster imagery and difficulties in…
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MapSwipe Analytics: Map each Swipe and Tap
Since the launch of the MapSwipe Analytics webpage three month ago we were able to improve our service and offer more detailed information on each project in MapSwipe. MapSwipe is a mobile App for crowdsourcing geographic information needed by humanitarian organisations like Red Cross and Doctors without Borders (MSF) introduced earlier. In particular the data can be used for priorizing areas…
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Paper on OSMlanduse.org at AGIT
The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg. The talk is entitled “OSMLanduse Version 1” while the full titel of the paper is: Voß, J.,…
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GIScience support for Crowdsourced Damage Assessment project at Stanford University
In the aftermath of natural disasters an assessment of the impact and damage in the affected area is crucial to enable coordination of response and recovery. While the disaster preparedness and response activations by the Humanitarian OpenStreetMap Team in regard to infrastructure mapping have already proven great potential in various disaster events, due to a…
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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…
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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…
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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…
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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…