# GWR, Mixed GWR and Multiscale GWR with Spatial Autocorrelation

## Documentation for package ‘mgwrsar’ version 1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

atds_gwr | atds_gwr Top-Down Scaling approach of GWR
coef-method | coef for mgwrsar model
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.
fitted-method | fitted for mgwrsar model
golden_search_bandwidth | golden_search_bandwidth to be documented
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.
MGWRSAR | Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
mgwrsar-class | Class of mgwrsar Model.
mgwrsar_bootstrap_test | A bootstrap test for Betas for mgwrsar class model.
mgwrsar_bootstrap_test_all | A bootstrap test for testing nullity of all Betas for mgwrsar class model,
modc | modc is a set of models to correct approximation of hat matrix trace
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.
mydata | mydata is a simulated data set of a mgwrsar model
mydatasf | mydataf is a Simple Feature object with real estate data in south of France.
normW | normW row normalization of dgCMatrix
plot-method | Plot method for mgwrsar model
plot.mgwrsar | Plot method for mgwrsar model
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.
predict-method | predict method for mgwrsar model
residuals-method | residuals for mgwrsar model
simu_multiscale | Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
summary-method | summary for mgwrsar model
summary_Matrix | summary_Matrix to be documented
tds_mgwr | Top-Down Scaling approach of multiscale GWR