Learn R Programming
⚠️There's a newer version (1.3.1) of this package.Take me there.

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) .

Copy Link

Version

Install

install.packages('mgwrsar')

Monthly Downloads

494

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