GeoXp : An R Package for Exploratory Spatial Data Analysis

• Main Authors: Thibault Laurent, AnneRuiz-Gazen, Christine Thomas-Agnan
• Format: Article
• Language: English
• Published: Foundation for Open Access Statistics 2012-04-01
• Series: Journal of Statistical Software
• Subjects: exploratory analysis; spatial econometrics; spatial statistics; interactive graphics; brushing and linking; dimension reduction
• Online Access: http://www.jstatsoft.org/v47/i02/paper

We present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use a data set concerning public schools of the French MidiPyrenees 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 and other graphical tools. 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.