Author: GIScience HD

  • Impressions from CASper Workshop and PerCom

    Last week saw the Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at the 15th IEEE International Conference on Pervasive Computing and Communications. Here you find some impressions from the event. Alexander Zipf participated as invited panelist at the panel session of CASPer 2017. The panel discusses processing unstructured Big Data and…

  • GIScience in practice during the KinderUni Heidelberg

    On Saturday, 18.03.2017, the Neuenheimer Feld of the University Heidelberg was the area of interest for children participating in the GIScience KinderUni workshop at the Institute of Geography “MapSwipe und uMap – Mach‘ mit beim Mappen an PC, Tablet und Smartphone”. After an introduction about Geography and Geodata in general, they could do some mapping…

  • 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…

  • First Impressions HeiGIT @ CeBIT: Smart GeoServices for Smart Cities

    This week you still have the chance to meet colleagues from HeiGIT team at CeBIT 2017 in Hannover. We present Smart GeoServices for Smart Cities in Halle 7 at the Smart City Forum booth together with our colleagues from heidelberg mobil.

  • HeiGIT at FOSSGIS: today several presentations on OSM technology

    in case you are this week not at CeBIT in the north of Germany, but rather at FOSSGIS in the south, you have the chance meet us also there and listen to several presentations on OSM work at HeiGIT and GIScience HD by our team member Martin Raifer. The main talk will be on OSM-History-Analysis…

  • 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…

  • VGI-Analytics Deadline Extended: CfP for short workshop papers (March 28) and full Journal Papers for GSIS Special Issue (June 9)

    VGI-Analytics offers two formats for paper submission: Workshop Short Paper (2000 to 3000-word manuscript) New Submission Deadline 28th March 2017. Authors are requested to follow the formatting guidelines for short paper submissions on the AGILE 2017 call for papers page and use the  Word .doc template or the  Word .docx template provided. Short papers should be…

  • osm-vis.geog.uni-heidelberg.de is Online

    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…

  • HeiGIT auf der CeBIT: Smarte Geodienste für Smart Cities

    Zusammen mit Heidelberg Mobil International (HDMI) wird das neue „Heidelberg Institute for Geoinformation Technology“ (HeiGIT) dieses Jahr erstmalig auf der CeBIT in Hannover auf dem Smart City Forum vertreten sein. Dabei stehen ortsbasierte Dienste zur Navigation unter Berücksichtigung vielfältiger Anforderungen im Fokus. Wir zeigen das Potenzial nutzer-generierter OpenStreetMap-Daten und innovativer Geoinformationstechnologien für Smart City-Anwendungen, und…

  • 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.…

  • Big Data Analytics Panel at the International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at IEEE PerCom

    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…

  • Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations

    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…