Month: May 2015

  • CAP4ACCESS team active on the European protest day of equal rights for people with disabilities

    On the occasion of the European protest day for equal rights of people with disabilities the Heidelberg advisory board of people with disabilities organised an event at Heidelberg castle. Every year on these specific days, particular organizations plan relevant activities in order to raise awareness of the needs of disabled people including those with limited…

  • Heidelberg University press releases about Nepal Disaster OpenRouteService

    Heidelberg University has published press releases about our work on providing specialized disaster routing and maps for the humanitarian aid organizations working in Nepal like the UN Logistics Cluster, USAid or the local KLL etc. The services based on OpenRouteService use the geodata provided by volunteers worldwide through OpenStreetMap. We also want to mention the…

  • The importance of sidewalk information in OpenStreetMap for routing and navigation of people with restricted mobility

    Since the launch of OpenStreetMap (OSM) project in 2004, due to its nature and objective in collecting data from volunteers which are not necessarily familiar with GIScience and data collection procedures, the quality of gathered information has always been a main concern for both research and industrial communities. Several research studies have been conducted to…

  • This weeks talk: Florian Hillen about Geo-Information Fusion for Digital Earth

    We are pleased to invite you to another interesting talk in our colloquium series. Florian Hillen (Institute for Geoinformatics and Remote Sensing, University of Osnabrück) will talk about new ways of combining different real-time data sources in Digital Earth applications. Geo-Information Fusion: Gaining additional value for real-time Digital Earth applications Lecture Hall, BST 48, Thursday,…

  • New ways in analysing multi-scale datasets

    Many user-generated datasets (e.g., social media) reflect a number of different phenomena. Consequently, these datasets also comprise very different spatial scales. It goes without saying that this evokes tremendous challenges when conducting spatial statistical analyses of such datasets. When assessing spatial autocorrelation among the observations, for example, classical approaches are usually not appropriate. These were…