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

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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