GWmodel: 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.
||R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp
||mvoutlier, RColorBrewer, gstat
||Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
||Binbin Lu <binbinlu at whu.edu.cn>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
||GWmodel citation info