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GeoXp: An R Package for Exploratory Spatial Data Analysis

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

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.

Suggested Citation

  • Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2012. "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i02).
    • Handle: RePEc:jss:jstsof:v:047:i02
    DOI: http://hdl.handle.net/10.18637/jss.v047.i02
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    References listed on IDEAS

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    1. Heba, Ines & Malin, Eric & Thomas-Agnan, Christine, 2002. "Exploratory spatial data analysis with GEOXP," ERSA conference papers ersa02p498, European Regional Science Association.
    2. Caussinus, H. & Fekri, M. & Hakam, S. & Ruiz-Gazen, A., 2003. "A monitoring display of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 237-252, October.
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    Cited by:

    1. Terry Gregory & Roberto Patuelli, 2015. "Demographic ageing and the polarization of regions—an exploratory space–time analysis," Environment and Planning A, , vol. 47(5), pages 1192-1210, May.
    2. Payton, Quinn C. & McManus, Michael G. & Weber, Marc H. & Olsen, Anthony R. & Kincaid, Thomas M., 2015. "micromap: A Package for Linked Micromaps," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i02).
    3. Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
    4. de Iaco, Sandra, 2017. "The cgeostat Software for Analyzing Complex-Valued Random Fields," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i05).
    5. Gonzalez-Ollauri, Alejandro & Thomson, Craig S. & Mickovski, Slobodan B., 2020. "Waste to Land (W2L): A novel tool to show and predict the spatial effect of applying biosolids on the environment," Agricultural Systems, Elsevier, vol. 185(C).
    6. de Mouzon, Olivier & Laurent, Thibault & Le Breton, Michel, 2020. "One Man, One Vote Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve," TSE Working Papers 20-1089, Toulouse School of Economics (TSE).
    7. repec:asg:wpaper:1047 is not listed on IDEAS
    8. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
    9. Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).

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