Spatial Analysis of Crime in East Java Province in 2019

Choirul Ummah, R. Rahani
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Abstract

Crime is one of the consequences of fluctuations in the economic condition of a country. Crime incidents harm many parties. The number of criminal acts increased in 2019, especially in Sumatra and Java Island. Most provinces experienced an increasing number of criminal acts, one of them was East Java. East Java contributed more than a quarter of the number of crimes throughout Java Island. The number of criminal acts is count data with overdispersion because its variance is higher than its average. This study aims to analyze the number of criminal acts by applying Geographically Weighted Negative Binomial Regression (GWNBR). The result shows that GWNBR formed two regional groups based on significant variables. The four independent variables namely the unemployment rate, the number of poor people, the Gini ratio, and the police population ratio have a significant effect on all districts/cities. However, the mean year of schooling shows a significant effect only in certain districts/cities. The GWNBR is the best model in modelling the number of criminal acts in East Java.
2019年东爪哇省犯罪空间分析
犯罪是一国经济状况波动的后果之一。犯罪事件伤害了许多当事人。2019年,犯罪行为数量有所增加,特别是在苏门答腊岛和爪哇岛。大多数省份的犯罪行为越来越多,其中之一是东爪哇。东爪哇占整个爪哇岛犯罪数量的四分之一以上。犯罪行为数的方差大于平均值,是具有过离散性的计数数据。本研究旨在运用地理加权负二项回归(GWNBR)对犯罪行为数量进行分析。结果表明,基于显著性变量,长城沿线形成了两个区域群。失业率、贫困人口数量、基尼系数和警察人口比率这四个自变量对所有区/市都有显著影响。然而,平均受教育年限仅在某些地区/城市显示出显著的影响。GWNBR是对东爪哇犯罪行为数量进行建模的最佳模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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