GeoXp: An R Package for Exploratory Spatial Data Analysis
We 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.
|Date of creation:||21 Oct 2009|
|Date of revision:|
|Publication status:||Published in Journal of Statistical Software, vol. 47, n. 2, 2012.|
|Contact details of provider:|| Phone: (+33) 5 61 12 86 23|
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- Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
- Caussinus, H. & Fekri, M. & Hakam, S. & Ruiz-Gazen, A., 2003. "A monitoring display of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 237-252, October.
- Heba, Ines & Malin, Eric & Thomas-Agnan, Christine, 2002. "Exploratory spatial data analysis with GEOXP," ERSA conference papers ersa02p498, European Regional Science Association.
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