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mgwrsar (version 1.1)

GWR, Mixed GWR and Multiscale GWR with Spatial Autocorrelation

Description

Functions for computing (Mixed and Multiscale) Geographically Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) .

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Version

Install

install.packages('mgwrsar')

Monthly Downloads

403

Version

1.1

License

GPL (>= 2)

Maintainer

Ghislain Geniaux

Last Published

February 20th, 2025

Functions in mgwrsar (1.1)

mydata

mydata is a simulated data set of a mgwrsar model
modc

modc is a set of models to correct approximation of hat matrix trace
mgwrsar_bootstrap_test_all

A bootstrap test for testing nullity of all Betas for mgwrsar class model,
mgwrsar-class

Class of mgwrsar Model.
kernel_matW

kernel_matW A function that returns a sparse weight matrix based computed with a specified kernel (gauss,bisq,tcub,epane,rectangle,triangle) considering coordinates provides in S and a given bandwidth. If NN<nrow(S) only NN firts neighbours are considered. If Type!='GD' then S should have additional columns and several kernels and bandwidths should be be specified by the user.
simu_multiscale

Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
residuals,mgwrsar-method

residuals for mgwrsar model
predict,mgwrsar-method

predict method for mgwrsar model
tds_mgwr

Top-Down Scaling approach of multiscale GWR
plot,mgwrsar,missing-method

Plot method for mgwrsar model
normW

normW row normalization of dgCMatrix
multiscale_gwr

multiscale_gwr This function adapts the multiscale Geographically Weighted Regression (GWR) methodology proposed by Fotheringam et al. in 2017, employing a backward fitting procedure within the MGWRSAR subroutines. The consecutive bandwidth optimizations are performed by minimizing the corrected Akaike criteria.
plot_effect

plot_effect plot_effect is a function that plots the effect of a variable X_k with spatially varying coefficient, i.e X_k * Beta_k(u_i,v_i) for comparing the magnitude of effects of between variables.
summary,mgwrsar-method

summary for mgwrsar model
summary_Matrix

summary_Matrix to be documented
atds_gwr

atds_gwr Top-Down Scaling approach of GWR
fitted,mgwrsar-method

fitted for mgwrsar model
MGWRSAR

Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
find_TP

Search of a suitable set of target points. find_TP is a wrapper function that identifies a set of target points based on spatial smoothed OLS residuals.
QRcpp2_C

QRcpp2_C to be documented
coef,mgwrsar-method

coef for mgwrsar model
mydatasf

mydataf is a Simple Feature object with real estate data in south of France.
mgwrsar_bootstrap_test

A bootstrap test for Betas for mgwrsar class model.
golden_search_bandwidth

golden_search_bandwidth to be documented
Proj_C

Proj_C to be documented
int_prems

int_prems to be documented
PhWY_C

PhWY_C to be documented
Sl_C

Sl_C to be documented
INST_C

INST_C to be documented