Display processing results using the GWR (Geographically Weighted Regression) method, display maps, and show the results of the Mixed GWR (Mixed Geographically Weighted Regression) model which automatically selects global variables based on variability between regions. This function refers to Yasin, & Purhadi. (2012). "Mixed Geographically Weighted Regression Model (Case Study the Percentage of Poor Households in Mojokerto 2008)". European Journal of Scientific Research, 188-196. <https://www.researchgate.net/profile/Hasbi-Yasin-2/publication/289689583_Mixed_geographically_weighted_regression_model_case_study_The_percentage_of_poor_households_in_Mojokerto_2008/links/58e46aa40f7e9bbe9c94d641/Mixed-geographically-weighted-regression-model-case-study-The-percentage-of-poor-households-in-Mojokerto-2008.pdf>.
Version: 1.1.1.5 Depends: R (≥ 2.10) Imports: spgwr, sf, psych, ggplot2, dplyr, tidyr Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-05-17 DOI: 10.32614/CRAN.package.mgwrhw Author: Asy-Syaja'ul Haqqul Amin [cre, aut], Waris Marsisno [aut] Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06 at gmail.com> License: GPL-3 NeedsCompilation: no Materials: NEWS CRAN checks: mgwrhw results Documentation: Reference manual: mgwrhw.html , mgwrhw.pdf Vignettes: mgwrhw (source, R code)Please use the canonical form https://CRAN.R-project.org/package=mgwrhw to link to this page.
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