Application of Spatio-Temporal Analysis in Criminal Incident Recording System

Christian J. M. Mejia, Nicole P. Macinas, Jerard K. A. Catacutan, Angelica J. Gervacio, Jinn X. G. G. Nunez, Sheila A. Abaya
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Abstract

Crime has always been a part of people's daily lives, and statistically speaking, the number of crimes has never decreased while continuously increasing. Despite the fact that no one can predict when a crime will occur, this study aims to use spatial and temporal analysis in crime mapping to identify crime patterns and hotspots that will be used by Caloocan Police Substation 03 to determine where and when the police officers should patrol to prevent criminal activity from happening. The researchers have discovered that the police officers find the system useful for keeping their crime data and for establishing their patrolling regions based on the findings of the survey that was done. The findings indicate that using Spatio-Temporal Analysis in a Criminal Incident Recording System can help reduce crime rates in the jurisdiction of Caloocan Police Substation 03.
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时空分析在刑事事件记录系统中的应用
犯罪一直是人们日常生活的一部分,从统计上讲,犯罪的数量从未减少,而是不断增加。尽管没有人能预测犯罪何时会发生,但本研究旨在利用犯罪测绘中的时空分析来识别犯罪模式和热点,这些犯罪模式和热点将被Caloocan警察局03用来确定警察应该在何时何地巡逻以防止犯罪活动的发生。研究人员发现,警察发现该系统对保存犯罪数据和根据调查结果建立巡逻区域很有用。研究结果表明,在犯罪事件记录系统中使用时空分析可以帮助降低Caloocan警察分局03辖区的犯罪率。
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