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

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2.2-8 by Binbin Lu, 3 months ago

Browse source code at

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

System requirements: GNU make

Imported by GWPR.light, GeoWeightedModel, gwer.

Depended on by SpatialRegimes.

See at CRAN