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Tag Archive 'Social Media Data'

This week our GIScience Heidelberg team member Rene Westerholt most successfully defended his PhD! Congratulations! Very well deserved!

The thesis is located at the interface between spatial analysis methodology and the characteristics of spatially superimposed random variables. Three types of contributions are presented:
(i) the interactions of spatial analysis techniques with spatially superimposed random variables
are investigated;
(ii) novel [...]

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This morning Georg Glasze and Thomas Bittner from Erlangen University gave a very interesting keynote talk on “VGI and society: inequalities, exclusions and power asymmetries of user generated geoinformation”. It was well received and lead to a lively discussion among the participants of the DFG SPP VGIscience Collaborative Research Week that is taking place this week [...]

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Several geospatial applications require comprehensive semantic information from points-of-interest (POIs). However, this information is frequently dispersed across different collaborative mapping platforms. Surprisingly, there is still a research gap on the conflation of POIs from this type of geo-dataset. In a recent paper by Novack et al. (2018), we focus on the matching aspect of POI [...]

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Last week, our colleagues Franz-Benjamin Mocnik and René Westerholt participated in a summer school of the DFG priority programme on “VGI”. GIScience Heidelberg is involved in that programme by two projects, one of which is dealing with data quality issues and another one that investigates the assessment of spatial assotiations in social media data. The [...]

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GIScience Heidelberg recently contributed to the Annual International Conference, which was held in the premises of the Royal Geographical Society and at the Imperial College in London. Together with João Porto de Albuquerque from the University of Warwick, our member René Westerholt convened two workshop sessions about “spatial urban analytics” on Friday 01 September (link [...]

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On Friday, our member René Westerholt held a talk at the Annual Meeting of the American Association of Geographers (AAG) in Boston. The talk which is entitled “Topological and scale-related issues in Twitter analyses through superimposed forms of spatial heterogeneity” was part of a special session on geographic data science organised by Alex Singleton from [...]

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We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday about analysis of big spatial data from multiple sources (sensor data, social media). Dr. Jiaoyan Chen presents ways to improve results obtained with traditional data mining techniques for spatio-temporal prediction for a China smog use case.
Predictive Analytics and Knowledge Reasoning [...]

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