GEOGRAPHICALLY WEIGHT REGRESSION APPLICATIONS FOR SPATIAL ANALYSIS OF INEQUALITY IN CENTRAL JAVA

Abstract

Inequality is a state where there is an imbalance between each other. Inequality indicates the unevenness of
development that runs in an area. In Central Java, the problem of inequality among people still exists in daily life.
Geographically Weight Regression method is a method that yields model parameter estimators that have localized
properties at each point or location. In this study aims to modeling the inequality problem that occurred in Central
Java using Geographically Weight Regression method that has the nature of localization at the point. Data taken
from Central Statistics Agency (BPS) 2015. Through Geographically Weight Regression method can be
concluded that with OLS method got 2 variables effect on imbalance wit h α 10% is variable of HDI  (IPM) and
PDRB. While the influential GWR method is the number of population and the amount of labor. While goodness
of fit test showed there is no difference between GWR model and OLS model or in other words there is no spatial
effect in the imbalance analysis in Central Java Province (0.4976 <0.1).

Keywords: inequality, GWR,Spatial