Geographically-Weighted Models

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.


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Reference manual

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install.packages("GWmodel")

2.0-8 by Binbin Lu, 2 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] , Isabella Gollini[ctb]


Documentation:   PDF Manual  


Task views: Analysis of Spatial Data


GPL (>= 2) license


Imports methods, grDevices, stats, graphics, spacetime

Depends on maptools, robustbase, sp, Rcpp, spdep

Suggests mvoutlier, RColorBrewer, gstat

Linking to Rcpp, RcppArmadillo


See at CRAN