Tag: Crowdsourcing
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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…
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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…
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A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review
Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas.…
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Special Issue on “Crowdsourced Mapping” Cartography and Geographic Information Science is Online
The Special Issue on “Crowdsourced Mapping” of the international journal “Cartography and Geographic Information Science” is online. Here you can read the editorial. Further this issue includes our paper on Deriving incline values for street networks from voluntarily collected GPS traces. When producing optimal routes through an environment, considering the incline of surfaces can be…
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Crowdsourced Classification of 3D Point Clouds
Within the 3D-MAPP project we currently developed a workflow and a web based tool, that allow volunteers (and experts) to classiffy 3D point clouds in just a few seconds. The approach combines the point cloud interpretation skills of humans and the scalability of crowdsourcing. Furthermore, crowdsourced geographic information can be of high value to automated…
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Crowdsourcing for Forensic Disaster Analysis – Kick-Off Meeting
This week the Kick-Off Meeting of a recently started collaboarative project on “Crowdsourcing for Forensic Disaster Analysis” (CrowdFDA) took place at GIScience Heidelberg University together with partners from the Geophysical Institute of Karlsruhe Institute of Technology (KIT) (Dr. Bijan Khazai) as member in the Center for Disaster Management and Risk Reduction Technology (CEDIM, KIT) and…
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Workshop Reallabor “Sustainable Urban Development in the Knowledge Society”
Last week members of GIScience Heidelberg from the TP4 of the Project Urban Office at Heidelberg University participated in a transdisciplinary two days workshop at Heidelberg University together with urban planners, urban geographers, architects and researchers from the social sciences as well as practitioners discussing the current state and future steps in the Reallabor Urban…
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3D-MicroMapping of Big 3D Geo-Datasets in the Web (3D-MAPP)
Our new research project 3D-MAPP develops a web-based methodology to obtain digital geodata via the combination of data analysis by human and machine. Through a quick and easy-to-use 3D Web visualization users are able – in a few seconds – to solve 3D micro mapping tasks, which can hardly or even not be solved by…
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GIScience HD participated in 1st International Land Use Symposium
Between November 11-13 our group actively participated in the 1st edition of the International Land Use Symposium (#ILUS2015) held in Dresden. The symposium was organized by the Leibniz Institute of Ecological Urban and Regional Development (IÖR, also based in Dresden), who greatly braved the challenges of organizing this symposium for the first time and who…