GWmodel (2.1-3)

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Geographically-Weighted Models.

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

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 (Brunsdon et al. 2002), GW principal components analysis (Harris et al. 2011), GW discriminant analysis (Brunsdon et al. 2007) and various forms of GW regression (Brunsdon et al. 1996); 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], Daisuke Murakami[aut],Isabella Gollini[ctb]

License: GPL (>= 2)

Uses: FNN, maptools, Rcpp, robustbase, sp, spacetime, spatialreg, spdep, RColorBrewer, mvoutlier, gstat, spData

Released 4 months ago.


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