GeoXp: An R Package for Exploratory Spatial Data Analysis

Thibault Laurent, Anne Ruiz-Gazen and Christine Thomas-Agnan

No 09-099, TSE Working Papers from Toulouse School of Economics (TSE)

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: exploratory analysis; spatial econometrics; spatial statistics (search for similar items in EconPapers)
Date: 2009-10
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.tse-fr.eu/sites/default/files/medias/do ... wp_etrie_99_2009.pdf Full text (application/pdf)

Related works:
Journal Article: GeoXp: An R Package for Exploratory Spatial Data Analysis (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:22201

Access Statistics for this paper

More papers in TSE Working Papers from Toulouse School of Economics (TSE) Contact information at EDIRC.
Bibliographic data for series maintained by ().