GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR (Top-Down Scale Approaches)
Golden search bandwidth (deprecated)
int_prems to be documented
Internal Functions for mgwrsar Package
atds_gwr Top-Down Scaling approach of GWR
coef for mgwrsar model
Search of a suitable set of target points. find_TP is a wrapper functi...
fitted for mgwrsar model
Optimization of 2D Bandwidths (Spatial and Temporal) using Golden Sect...
plot_effect plot_effect is a function that plots the effect of a varia...
Plot method for mgwrsar model
predict method for mgwrsar model
reord_D
reord_M
residuals for mgwrsar model
Bandwidth Selection via Multi-round Grid Search based on AICc
Simulate Data Generating Processes (DGP) for Multiscale GWR
summary_Matrix to be documented
summary for mgwrsar model
Top-Down Scale (TDS) and Adaptive Top-Down Scale (ATDS) Estimation for...
kernel_matW A function that returns a sparse weight matrix based compu...
Ensure Uniqueness of Coordinates or Values in 1D, 2D, or 3D Structures
A bootstrap test for testing nullity of all Betas for mgwrsar class mo...
A bootstrap test for Betas for mgwrsar class model.
Class of mgwrsar Model.
Estimation of linear and local linear model with spatial autocorrelati...
Multiscale Geographically Weighted Regression (MGWR)
normW row normalization of dgCMatrix
Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.