Résumé
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.
Mots-clés
exploratory analysis; spatial econometrics; spatial statistics;
Remplacé par
Thibault Laurent, Anne Ruiz-Gazen et Christine Thomas-Agnan, « GeoXp: an R package for interactive exploratory spatial data analysis », Journal of Statistical Software, vol. 47, n° 2, 2012.
Référence
Thibault Laurent, Anne Ruiz-Gazen et Christine Thomas-Agnan, « GeoXp: An R Package for Exploratory Spatial Data Analysis », TSE Working Paper, n° 09-099, 21 octobre 2009.
Voir aussi
Publié dans
TSE Working Paper, n° 09-099, 21 octobre 2009