A modified test in flexibly shaped spatial scan statistic for detecting poverty hotspots

Abstract

A flexibly spatial scan statistic was proposed by Tango and Takahashi (2005) that can detect arbitmy shaped clusters (hotspots). In this research, a flexibly shaped spatial scan statistic will be applied to perform poverty hotspots detection in Bogor. Overall population of family in Bogor is 1,094,480 families and 29.44% of families who live in Bogor are categorized as poor family. The problem was flexibly spatial scan statistic use Poisson distribution in their calculation but the poverty rate was too high to be approached by Poisson distribution. In fact that Poisson must be constructed &om the number of trials is large and the probability of success is small.