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mgwrhw  

Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map
View on CRAN: Click here


Download and install mgwrhw package within the R console
Install from CRAN:
install.packages("mgwrhw")

Install from Github:
library("remotes")
install_github("cran/mgwrhw")

Install by package version:
library("remotes")
install_version("mgwrhw", "1.1.1.5")



Attach the package and use:
library("mgwrhw")
Maintained by
Asy-Syaja'ul Haqqul Amin
[Scholar Profile | Author Map]
First Published: 2024-05-17
Latest Update: 2024-05-17
Description:
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>.
How to cite:
Asy-Syaja'ul Haqqul Amin (2024). mgwrhw: Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map. R package version 1.1.1.5, https://cran.r-project.org/web/packages/mgwrhw. Accessed 17 Feb. 2025.
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