回归分析
人口
失业
空间分析
变量
地理
击剑
自回归模型
变量(数学)
人均
计量经济学
统计
社会经济学
人口学
经济
数学
计算机科学
经济增长
社会学
数学分析
并行计算
作者
Ansari Saleh Ahmar,Adiatma,Muhammad Kasim Aidid
出处
期刊:Journal of physics
[IOP Publishing]
日期:2018-01-01
卷期号:954: 012013-012013
被引量:6
标识
DOI:10.1088/1742-6596/954/1/012013
摘要
Act of criminality in Indonesia increased both variety and quantity every year. As murder, rape, assault, vandalism, theft, fraud, fencing, and other cases that make people feel unsafe. Risk of society exposed to crime is the number of reported cases in the police institution. The higher of the number of reporter to the police institution then the number of crime in the region is increasing. In this research, modeling criminality in South Sulawesi, Indonesia with the dependent variable used is the society exposed to the risk of crime. Modelling done by area approach is the using Spatial Autoregressive (SAR) and Spatial Error Model (SEM) methods. The independent variable used is the population density, the number of poor population, GDP per capita, unemployment and the human development index (HDI). Based on the analysis using spatial regression can be shown that there are no dependencies spatial both lag or errors in South Sulawesi.
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