Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Thibault Laurent, Anne Ruiz-Gazen, Christine Thomas-Agnan
Title: 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 set concerning public schools of the French Midi- Pyrénées 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.

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Paper: GeoXp: An R Package for Exploratory Spatial Data Analysis     Download PDF (Downloads: 12251)
GeoXp_1.5.6.tar.gz: R source package Download (Downloads: 798; 3MB)
v47i02.R: R example code from the paper Download (Downloads: 817; 8KB)

DOI: 10.18637/jss.v047.i02

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.