News of Heidelberg University’s GIScience Research Group.
Posted in Crowd Analyser, OSM, Services, VGI Group on Jul 10th, 2017
Noise pollution is a growing problem in many urban environments, affecting citizens’ daily life. It can reduce citizens’ happiness, increase their stress, and even people them get sick if they are exposed to noise pollution for a long period of time. In recent studies we investigate the use of crowdsourced data to derive noise polluted [...]
Posted in Jobs on Jul 9th, 2017
Open Position:
Software Engineer Geoinformation Technology / OpenStreetMap
Heidelberg Institute for Geoinformation Technology (HeiGIT)
In order to promote technology transfer and applied research in the area of Geoinformatics, the Heidelberg Institute for Geoinformation Technology (HeiGIT) is currently being established with the support of the Klaus-Tschira Foundation. http://www.heigit.org. This is to be continued in the future as an [...]
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 [...]
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., M. Auer, [...]
The set of interactive visualizations “OSMvis” from our GIScience HD team member Franz-Benjamin are now online at: http://osm-vis.geog.uni-heidelberg.de.
Nice work Franz-Benjamin!
OSMvis is a collection of visualizations related to OpenStreetMap (OSM), in particular the OSM database, the OSM wiki, and the use of OSM data in general. OSMvis aims at exploring the generation, modification, and use of OSM [...]
Posted in Publications, Research, VGI Group on Mar 12th, 2017
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. [...]
Posted in Events on Mar 10th, 2017
Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]
Posted in Crowd Analyser, Publications, Research, VGI Group on Mar 6th, 2017
The aftereffects of disaster events are significant in tourist destinations where they do not only lead to destruction and casualties, but also long-lasting economic harms. The public perception causes tourists to refrain from visiting these areas and recovery of the tourist industry, a major economic sector, to become challenging. To improve this situation, current information [...]
Posted in Events, Press release on Mar 4th, 2017
Together with Heidelberg Mobil International (HDMI) our new Heidelberg Institute for Geoinformation Technology (HeiGIT) will be represented at the CeBIT in Hannover within the Smart City Forum this month from the 20-24th of March.
In this context we will be focusing on transportation and navigation as an example which must meet a wide range of [...]
During last weeks LandSense stakeholder at IIASA workshops various tools relevant for VGI data capture, Quality assessment and beyond were discussed. Potential hotshots for validation and improvement of OSMLanduse were FotoQuest and LacoWiki. Also discussed were platforms for hobby bird fans or for spatial data geeks.
http://www.geog.uni-heidelberg.de/gis/land_sense.html
http://osmlanduse.org