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GWmodel (version 2.1-3)

Geographically-Weighted Models

Description

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.

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Version

Install

install.packages('GWmodel')

Monthly Downloads

2,780

Version

2.1-3

License

GPL (>= 2)

Maintainer

Binbin Lu

Last Published

July 15th, 2019

Functions in GWmodel (2.1-3)

DubVoter

Voter turnout data in Greater Dublin(SpatialPolygonsDataFrame)
LondonHP

London house price data set (SpatialPointsDataFrame)
LondonBorough

London boroughs data
bw.gwr.lcr

Bandwidth selection for locally compensated ridge GWR (GWR-LCR)
bw.gwss.average

Bandwidth selection for GW summary averages
bw.ggwr

Bandwidth selection for generalised geographically weighted regression (GWR)
ggwr.cv

Cross-validation score for a specified bandwidth for generalised GWR
USelect

Results of the 2004 US presidential election at the county level (SpatialPolygonsDataFrame)
ggwr.basic

Generalised GWR models with Poisson and Binomial options
EWHP

House price data set (DataFrame) in England and Wales
gwpca

GWPCA
gwpca.check.components

Interaction tool with the GWPCA glyph map
gwpca.cv.contrib

Cross-validation data at each observation location for a GWPCA
ggwr.cv.contrib

Cross-validation data at each observation location for a generalised GWR model
gwpca.cv

Cross-validation score for a specified bandwidth for GWPCA
gtwr

Geographically and Temporally Weighted Regression
GeorgiaCounties

Georgia counties data (SpatialPolygonsDataFrame)
Georgia

Georgia census data set (csv file)
bw.gwpca

Bandwidth selection for Geographically Weighted Principal Components Analysis (GWPCA)
gwr.bootstrap

Bootstrap GWR
gw.pcplot

Geographically weighted parallel coordinate plot for investigating multivariate data sets
gwr.cv.contrib

Cross-validation data at each observation location for a basic GWR model
gwr.mixed

Mixed GWR
gw.dist

Distance matrix calculation
gwr.mink.pval

Select the values of p for the Minkowski approach for GWR
gwr.cv

Cross-validation score for a specified bandwidth for basic GWR
gwda

GW Discriminant Analysis
gw.weight

Weight matrix calculation
gwr.hetero

Heteroskedastic GWR
gwr.lcr.cv

Cross-validation score for a specified bandwidth for GWR-LCR model
gwr.t.adjust

Adjust p-values for multiple hypothesis tests in basic GWR
gwr.model.view

gwr.lcr

GWR with a locally-compensated ridge term
gwr.write

Write the GWR results into files
gwr.montecarlo

Monte Carlo (randomisation) test for significance of GWR parameter variability
gwpca.montecarlo.2

Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 2
gwr.multiscale

Multiscale GWR
bw.gwr

Bandwidth selection for basic GWR
gwr.basic

Basic GWR model
gwr.collin.diagno

Local collinearity diagnostics for basic GWR
gwr.predict

GWR used as a spatial predictor
gwss

Geographically weighted summary statistics (GWSS)
gwr.robust

Robust GWR model
gwr.lcr.cv.contrib

Cross-validation data at each observation location for the GWR-LCR model
gwss.montecarlo

gwr.scalable

Scalable GWR
gwr.model.sort

gwr.model.selection

Model selection for GWR with a given set of independent variables
EWOutline

GWmodel-package

Geographically-Weighted Models
bw.gtwr

Bandwidth selection for GTWR
gwpca.glyph.plot

Multivariate glyph plots of GWPCA loadings
bw.gwda

Bandwidth selection for GW Discriminant Analysis
gwpca.montecarlo.1

Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 1
gwr.mink.matrixview

gwr.mink.approach

Minkovski approach for GWR