GeoXp: An R Package for Exploratory Spatial Data Analysis
AbstractWe present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use a data basis concerning public schools of the French Midi-Pyréenées region to illustrate the use of these exploratory techniques based on the coupling between a statistical graph and a map. Besides elementary plots like boxplots, histograms or simple scatterplots, GeoXp also couples maps with Moran scatterplots, variogram clouds, Lorenz curves, etc. In order to make the most of the multidimensionality of the data, GeoXp includes dimension reduction techniques such as principal components analysis and cluster analysis whose results are also linked to the map.
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Bibliographic InfoPaper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 09-099.
Date of creation: 21 Oct 2009
Date of revision:
Publication status: Published in "Journal of Statistical Software", vol.�47, n°2, 2012.
exploratory analysis; spatial econometrics; spatial statistics;
Other versions of this item:
- Thibault Laurent & Anne Ruiz-Gazen & Christine Thomas-Agnan, . "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, American Statistical Association, vol. 47(i02).
- NEP-ALL-2010-05-22 (All new papers)
- NEP-GEO-2010-05-22 (Economic Geography)
- NEP-URE-2010-05-22 (Urban & Real Estate Economics)
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ZEW Discussion Papers
13-057, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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- Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
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