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Application of the Geographically Weighted Regression (GWR) with the Bi-Square Weighting Function on the Poverty Model in the City/Regency of West Java
Advances in Engineering Research
The Geographically Weighted Regression (GWR) analysis is considered the most appropriate analysis to describe the Poverty model, including location. By employing the GWR analysis, this study is aimed to find out the proper model of poverty in West Java Province, which can describe the geographical characteristics of the location or district/city in West Java with the Kernel Bi-Square Weighting function. The secondary data were taken from 2018 which consist of the response variable of the Poordoi:10.2991/aer.k.211106.031 fatcat:xalagru3ljarxcijuisn4tcb34