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          <dc:title>Towards the Statistical Analysis and Visualization of Places (Short Paper)</dc:title>
          <dc:creator>Westerholt, René</dc:creator>
          <dc:creator>Gröbe, Mathias</dc:creator>
          <dc:creator>Zipf, Alexander</dc:creator>
          <dc:creator>Burghardt, Dirk</dc:creator>
          <dc:subject>Platial Analysis</dc:subject>
          <dc:subject>Visualization</dc:subject>
          <dc:subject>Statistics</dc:subject>
          <dc:subject>Geosocial Media</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>René Westerholt and Mathias Gröbe and Alexander Zipf and Dirk Burghardt</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.GISCIENCE.2018.63</dc:identifier>
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