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)<doi:10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al. 2011)<doi:10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al. 2007)<doi:10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al. 1996)<doi:10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
| Version: |
2.1-4 |
| Depends: |
R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp, Rcpp, spatialreg |
| Imports: |
methods, grDevices, stats, graphics, spacetime, spdep, FNN |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
mvoutlier, RColorBrewer, gstat, spData |
| Published: |
2020-05-09 |
| Author: |
Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],Isabella Gollini[ctb] |
| Maintainer: |
Binbin Lu <binbinlu at whu.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://gwr.nuim.ie/ |
| NeedsCompilation: |
yes |
| Citation: |
GWmodel citation info |
| In views: |
Spatial |
| CRAN checks: |
GWmodel results |