Methodological aspects of the spatial analysis of geosocial media feeds: from locations towards places

A new journal article about Methodological aspects of the spatial analysis of geosocial media feeds: from locations towards places has just been published in Vol 2 2019. It covers some main aspects and findings of the PhD Thesis of our team member Rene Westerholt (now at Warwick UK) and relates those to the analysis of place in GIScience. The thesis was done in Heidelberg within the graduate school “CrowdAnalyser – Spatio-temporal Analysis of User-generated Content” and was awarded the first price for PhD thesis of the Förderpreis Geoinformatik 2019 des Runder Tisch GIS e. V. München.  The following papers are part of the PhD thesis:

Westerholt, R, Resch, B & A Zipf (2015). A Local Scale-Sensitive Indicator of Spatial Autocorrelation for Assessing High- and Low-Value Clusters in Multi-Scale Datasets’. International Journal of Geographical Information Science, 29 (5), 868-887. DOI: 10.1080/13658816.2014.1002499.

Westerholt, R, Steiger, E, Resch, B & A Zipf (2016). Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis. PLOS ONE, 11 (9), e0162360. DOI: 10.1371/journal.pone.0162360.

Westerholt, R, Resch, B, Mocnik, F.-B. & D Hoffmeister (2018). A Statistical Test on the Local Effects of Spatially Structured Variance’. International Journal of Geographical Information Science (IJGIS), 32 (3), 571-600.

Bluemke, M, Resch, B, Lechner, C, Westerholt, R, & JP Kolb (2017). Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future AvenuesSurvey Research Methods, 11 (3), 307-327.

Steiger, E, Westerholt, R, & A Zipf (2016). Research on Social Media Feeds – A GIScience Perspective. In: European Handbook of Crowdsourced Geographic Information. Ed. by Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F & R Purves. London: Ubiquity Press, 237-254. DOI: 10.5334/bax.r.

Westerholt, R (2018). The Impact of Different Statistical Parameter Values between Point Based Datasets when Assessing Spatial Relationships. Proceedings of the 21st AGILE Conference. Lund. Sweden.