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.

Reference manual

install.packages("GWmodel")

2.4-1 by Binbin Lu, 2 years ago

http://gwr.nuim.ie/

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

Authors: Binbin Lu [aut, cre] , Paul Harris [aut] , Martin Charlton [aut] , Chris Brunsdon [aut] , Tomoki Nakaya [aut] , Daisuke Murakami [ctb] , Yigong Hu [ctb] , Fiona H Evans [ctb] , Hjalmar H<c3><b6>glund [ctb]

Documentation: PDF Manual

GPL (>= 2) license

Imports methods, sf, grDevices, spacetime, spdep, spatialreg, FNN

Depends on robustbase, sp, Rcpp

Suggests mvoutlier, RColorBrewer, gstat, spData

Linking to Rcpp, RcppArmadillo, RcppEigen

System requirements: GNU make

Imported by Compind, GWlasso, GeoWeightedModel.

Depended on by SpatialRegimes.

Suggested by spatialkit.

See at CRAN