We’ve recently finalised the programme of a workshop on “spatial urban analytics with user-generated geographic information”. The event is conjoined with the 2017 International Conference at the Royal Geographical Society in London and is co-chaired by René Westerholt (GIScience Heidelberg). We received methodological as well as empirical contributions, which reflects the breadth of the complex [...]
Tag Archive 'social media'
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 [...]
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 [...]
Big Data Analytics Panel at the International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at IEEE PerCom
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 [...]
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 on Feb 22nd, 2017
This week Prof. Alexander Zipf presented some recent work of the GIScience Research Group Heidelberg and HeiGIT at the “Münchner GI-Runde” of the “Runde Tisch GIS e.V. Munich”. The overall topic of the presentation was spatio-temporal analysis from user generated geodata such as VGI or AGI (Social Media).
Examples included work on OSM quality analytics such [...]
Posted in Press release on Jan 4th, 2017
Heidelberg University reports about some of the work of the GIScience research group and at the Heidelberg Institute for Geoinformation Technology (HeiGIT), which is currently being established and core funded by the Klaus Tschira Stiftung.
The short reports are available in English and in German. Enjoy!
Check some of the Online Services by GIScience & HeiGIT
This week Alexander Zipf was giving an invited keynote presentation at the 18th Geoinfo Conference in Campos do Jordão, São Paulo, Brazil.
The GEOINFO conferences aim to bring together leading GIScience and spatial database researchers, to present to the local community a perspective of the state-of-the-art in the area. Past speakers have included Max [...]
Check-in data such as provided by Foursquare is one kind of social media feeds which gained considerable interest over recent years. This interest is partly due to their high degree of semantic detail, given that users check-in at places which are categorized by a relatively well-defined taxonomy. One associated prevalent task, in research as well [...]
Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps
Posted in Publications on Nov 16th, 2016
Cities are complex systems, where related Human activities are increasingly difficult to explore within. In order to understand urban processes and to gain deeper knowledge about cities, the potential of location-based social networks like Twitter could be used a promising example to explore latent relationships of underlying mobility patterns. In a recently published paper (Steiger [...]