蒂鲁凡得琅市犯罪发生率及空间变异的GIS分析

L. AchuA, R. Rose
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引用次数: 6

摘要

在发展中国家,犯罪率正在上升,主要是由于财富和社会地位的不平等分配。本研究试图识别和探讨蒂鲁凡得琅市2010 - 2014年期间的犯罪率和空间变化。地理信息系统(GIS)等计算机技术的发展和地理数据的可获得性,使执法机关可以制作分析地图和进行各种分析来识别犯罪热点区域。地理信息系统中的热点分析可以通过空间自相关、空间分析和插值等方法来识别犯罪热点区域。在进行GetisOrd Gi*热点分析之前,先进行空间自相关的Moran’s I检验统计量,找出数据中的聚类模式和离群值。犯罪热点分析采用矢量识别具有统计学意义的犯罪热点和冷点位置,采用IDW插值方法更好地实现可视化。将这些方法应用于喀拉拉邦Thiruvananthapuram市的犯罪数据,找到谋杀,抢劫,抢夺和盗窃等犯罪事件的热点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GIS Analysis of Crime Incidence and Spatial Variation in Thiruvananthapuram City
The rate of crime incidents is increasing in developing countries mainly due to the unequal distribution of wealth and societal status. The present study attempts to identify and explore the rate and spatial variation of crime in Thiruvananthapuram city for a period from 2010 to 2014. The improved computer based technologies like GIS and availability of Geographic data make it possible for law and enforcement agencies to create analytical maps and various analysis to identify the crime hotspot area .The hotspot analysis in Geographic Information System is helpful for the identification of crime hotspot through spatial auto correlation, spatial analysis and interpolation. The Moran's I test statistic of spatial auto correlation has been done prior to GetisOrd Gi* hotspot analysis to find out the clustering pattern as well as the outliers in the data. The crime hotspot analysis uses vectors to identify the locations of statistically significant crime hotspots and cold spots and IDW interpolation method is used for better visualization. These methods are applied on the crime data of Thiruvananthapuram city of Kerala state to find the hotspots for crime incidents like Murder, Robbery, Snatching and Theft.
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