GWmodel (2.0-3)

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Geographically-Weighted Models.

http://gwr.nuim.ie/
http://cran.r-project.org/web/packages/GWmodel

In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.

Maintainer: Binbin Lu
Author(s): Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]

License: GPL (>= 2)

Uses: maptools, Rcpp, robustbase, sp, RColorBrewer, mvoutlier, gstat

Released about 1 month ago.


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