mgwrsar

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

Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) . Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) .

Reference manual

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install.packages("mgwrsar")

1.4.1 by Ghislain Geniaux, 11 days ago

Browse source code at https://github.com/cran/mgwrsar

Authors: Ghislain Geniaux [aut, cre] , Davide Martinetti [aut] , César Martinez [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, ggplot2, sf, knitr, methods, doParallel, foreach, nabor, mapview, rlang, dplyr, gridExtra, grid, mboost, mgcv, caret, stringr, plotly, RhpcBLASctl, magrittr, lifecycle

Depends on sp, Matrix

Suggests rmarkdown

Linking to Rcpp, RcppEigen, RcppArmadillo

System requirements: C++17 (OpenMP optional; enable with MGWRSAR_OPENMP=1)

Depended on by spboost.

See at CRAN

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