Package: mgwrhw 1.1.1.5

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>.

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

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mgwrhw/json (API)
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Last updated 4 months agofrom:302585e987. Checks:OK: 7. Indexed: yes.

Exports:mgwrhw

Dependencies:classclassIntclicolorspacecpp11DBIdplyre1071fansifarvergenericsggplot2glueGPArotationgtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmepillarpkgconfigproxypsychpurrrR6RColorBrewerRcpprlangs2scalessfspspDataspgwrstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk