# GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR (Top-Down Scale Approaches)

## Documentation for package ‘mgwrsar’ version 1.3.2

- 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_2d_bandwidth | Optimization of 2D Bandwidths (Spatial and Temporal) using Golden Section Search
golden_search_bandwidth | Golden search bandwidth (deprecated)
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.
make_unique_by_structure | Ensure Uniqueness of Coordinates or Values in 1D, 2D, or 3D Structures
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,
multiscale_gwr | Multiscale Geographically Weighted Regression (MGWR)
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 | Row Normalization of Sparse Matrix
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
reord_D | reord_D
reord_M_R | reord_M
residuals-method | residuals for mgwrsar model
search_bandwidths | Bandwidth Selection via Multi-round Grid Search based on AICc
simu_multiscale | Simulate Data Generating Processes (DGP) for Multiscale GWR
summary-method | summary for mgwrsar model
summary_Matrix | Summary of a Sparse Matrix
TDS_MGWR | Top-Down Scale (TDS) and Adaptive Top-Down Scale (ATDS) Estimation for MGWR