mgwrhw: Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map

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.pdf
Vignettes:	mgwrhw

Downloads:

Package source:	mgwrhw_1.1.1.5.tar.gz
Windows binaries:	r-devel: mgwrhw_1.1.1.5.zip, r-release: mgwrhw_1.1.1.5.zip, r-oldrel: mgwrhw_1.1.1.5.zip
macOS binaries:	r-release (arm64): mgwrhw_1.1.1.5.tgz, r-oldrel (arm64): mgwrhw_1.1.1.5.tgz, r-release (x86_64): mgwrhw_1.1.1.5.tgz, r-oldrel (x86_64): mgwrhw_1.1.1.5.tgz

Linking:

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