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>.


Reference manual

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install.packages("mgwrhw")

1.1.1.5 by Asy-Syaja'ul Haqqul Amin, 2 years ago


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


Authors: Asy-Syaja'ul Haqqul Amin [cre, aut] , Waris Marsisno [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports spgwr, sf, psych, ggplot2, dplyr, tidyr

Suggests knitr, rmarkdown, testthat


See at CRAN