License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.63
URN: urn:nbn:de:0030-drops-93914
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9391/
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Westerholt, René ; Gröbe, Mathias ; Zipf, Alexander ; Burghardt, Dirk

Towards the Statistical Analysis and Visualization of Places (Short Paper)

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LIPIcs-GISCIENCE-2018-63.pdf (0.6 MB)

Abstract

The concept of place recently gains momentum in GIScience. In some fields like human geography, spatial cognition or information theory, this topic already has a longer scholarly tradition. This is however not yet completely the case with statistical spatial analysis and cartography. Despite that, taking full advantage of the plethora of user-generated information that we have available these days requires mature place-based statistical and visualization concepts. This paper contributes to these developments: We integrate existing place definitions into an understanding of places as a system of interlinked, constituent characteristics. Based on this, challenges and first promising conceptual ideas are discussed from statistical and visualization viewpoints.

BibTeX - Entry

@InProceedings{westerholt_et_al:LIPIcs:2018:9391,
  author =	{Ren{\'e} Westerholt and Mathias Gr{\"o}be and Alexander Zipf and Dirk Burghardt},
  title =	{{Towards the Statistical Analysis and Visualization of Places (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{63:1--63:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9391},
  URN =		{urn:nbn:de:0030-drops-93914},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.63},
  annote =	{Keywords: Platial Analysis, Visualization, Statistics, Geosocial Media}
}

Keywords: Platial Analysis, Visualization, Statistics, Geosocial Media
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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