serval:BIB_D29E670710D6
Geographical Exploration and Analysis Extended to Textual Content (Short Paper)
10.4230/LIPIcs.GISCIENCE.2018.23
http://drops.dagstuhl.de/opus/volltexte/2018/9351
Ceré
R.
author
Egloff
M.
author
Bavaud
F.
author
10th International Conference on Geographic Information Science (GIScience 2018)
organizer of meeting
inproceedings
2018
Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany
Melbourne, Australia
10th International Conference on Geographic Information Science (GIScience 2018)
Winter
S.
editor
Griffin
A.
editor
Sester
M.
editor
978-3-95977-083-5
1868-8969
Leibniz International Proceedings in Informatics (LIPIcs)
conference publication
114
23:1-23:7
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 δ, 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.
Spatial autocorrelation
Weighted spatial network
Document-term matrix
Multivariate features
Soft clustering
eng
60_published
peer-reviewed
University of Lausanne
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