CRAN/E | GWmodel

GWmodel

Geographically-Weighted Models

Installation

About

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.

Citation GWmodel citation info
gwr.nuim.ie/
System requirements GNU make

Key Metrics

Version 2.3-2
R ≥ 3.0.0
Published 2024-01-31 89 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks GWmodel results

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Maintainer

Maintainer

Binbin Lu

binbinlu@whu.edu.cn

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

Material

Reference manual
Package source

In Views

Spatial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GWmodel archive

Depends

R ≥ 3.0.0
robustbase
sp
> 1.4-0
Rcpp

Imports

methods
sf
grDevices
spacetime
spdep
spatialreg
FNN

Suggests

mvoutlier
RColorBrewer
gstat
spData

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

SpatialRegimes

Reverse Imports

Compind
GeoWeightedModel
GWPR.light