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Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.23
Geographical Exploration and Analysis Extended to Textual Content (Short Paper)

Authors: Raphaël Ceré, Mattia Egloff, and François Bavaud

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Textual and socio-economical regional features can be integrated and merged by linearly combining the between-regions corresponding dissimilarities. The scheme accommodates for various squared Euclidean socio-economical and textual dissimilarities (such as chi2 or cosine dissimilarities derived from document-term matrix or topic modelling). Also, spatial configuration of the regions can be represented by a weighted unoriented network whose vertex weights match the relative importance of regions. Association between the network and the dissimilarities expresses in the multivariate spatial autocorrelation index delta, generalizing Moran's I, whose local version can be cartographied. Our case study bears on the Wikipedia notices and socio-economic profiles for the 2251 Swiss municipalities, whose weights (socio-economical or textual) can be freely chosen.
Cite as

Raphaël Ceré, Mattia Egloff, and François Bavaud. Geographical Exploration and Analysis Extended to Textual Content (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 23:1-23:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{cere_et_al:LIPIcs.GISCIENCE.2018.23,
  author =	{Cer\'{e}, Rapha\"{e}l and Egloff, Mattia and Bavaud, Fran\c{c}ois},
  title =	{{Geographical Exploration and Analysis Extended to Textual Content}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{23:1--23:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.23},
  URN =		{urn:nbn:de:0030-drops-93514},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.23},
  annote =	{Keywords: Spatial autocorrelation, Weighted spatial network, Document-term matrix, Multivariate features, Soft clustering}
}
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