Geographically-Weighted Models

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.


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Reference manual

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install.packages("GWmodel")

2.1-3 by Binbin Lu, 4 months ago


http://gwr.nuim.ie/


Browse source code at https://github.com/cran/GWmodel


Authors: Binbin Lu[aut] , Paul Harris[aut] , Martin Charlton[aut] , Chris Brunsdon[aut] , Tomoki Nakaya[aut] , Daisuke Murakami[aut] , Isabella Gollini[ctb]


Documentation:   PDF Manual  


Task views: Analysis of Spatial Data


GPL (>= 2) license


Imports methods, grDevices, stats, graphics, spacetime, spdep, FNN

Depends on maptools, robustbase, sp, Rcpp, spatialreg

Suggests mvoutlier, RColorBrewer, gstat, spData

Linking to Rcpp, RcppArmadillo


See at CRAN