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Tag Archive 'Social Media Data'

Recently our former team member Rene Westerholt (now at Warwick UK) received this years prize for the best PhD at “Förderpreis Runder Tisch GIS München 2019“. The PhD was done in Heidelberg within the graduate school “CrowdAnalyser – Spatio-temporal Analysis of User-generated Content”.  We concratulate cordially!
The following papers are part of the cummulative PhD thesis [...]

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A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United [...]

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A mechanistic understanding of human activity patterns lays a foundation for many applications. The majority of the current research aims to outline human activity patterns mainly from spatiotemporal perspectives (i.e., modeling human mobility patterns), lacking of understanding of the motivations behind behaviors. The aim of a recently published study is to model and understand human [...]

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Understanding how citizens interact with transportation system is a key to solving a variety of urban issues in general and traffic congestion in particular. Recently, scholars have put efforts on the pertinent work ranging from developing traffic predictors to understanding human mobility and activity patterns. Multiple types of data have been used, of which crowdsourced [...]

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Dear colleagues,
Time is flying and the PLATIAL’18 workshop is getting closer and closer! Next week we are looking forward to an interesting and varied programme of talks in Heidelberg. They will discuss place-related topics ranging from philosophical questions to [...]

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Two papers from GIScience Heidelberg have been contributed to and accepted for the 10th International GIScience Conference 2018 in Melbourne, Australia. They will be presented on Wednesday and Thursday respectively. Looking forward to a fruitful discussion!

Westerholt, R., Gröbe, M., Zipf, A. and Burghardt, D. (2018): Towards the statistical analysis and visualization of places. 10th International [...]

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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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