GeoXp: An R Package for Exploratory Spatial Data Analysis

Abstract

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.

Keywords

Replaced by

Thibault Laurent, Anne Ruiz-Gazen, and Christine Thomas-Agnan, “GeoXp: an R package for interactive exploratory spatial data analysis”, Journal of Statistical Software, vol. 47, n. 2, 2012.

Reference

Thibault Laurent, Anne Ruiz-Gazen, and Christine Thomas-Agnan, “GeoXp: An R Package for Exploratory Spatial Data Analysis”, TSE Working Paper, n. 09-099, October 21, 2009.