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The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data
E3S Web of Conferences
Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare thedoi:10.1051/e3sconf/20187312006 fatcat:khpkxvp4anf2dorstdjkspohf4