系列案件犯罪地理目标模型下空间点群综合距离算法优化
Criminal Geographic Target Model Optimal Integrated Distance between Spatial Points of Serial Burglaries
作者: 戴 侃 , 李卫红 , 闻 磊 , 陈业滨 :华南师范大学地理科学学院,广东 广州 ;
关键词: 地理画像; 犯罪地理目标模型; 点群综合距离; 犯罪活动距离; Geographic Profiling; CGT Model; Integrated Distance Points; Journey-to-Crime Distance
摘要:Abstract: We used criminal geographic targeting (CGT) model—one of the geographic profiling methods— based on the real data of serial burglaries of two Chinese cities Q and S to discover the journey- to-crime distance of offenders and the optimal integrated distance between points for CGT model. We wanted to detect offenders’ residences and serve for the police department. Our results show that 1) the serial burglary offenders of our two research areas comply with the distance-decay function when they commit crimes, that is, they always repeatedly commit crimes within a certain distance; 2) the empirical constants of CGT model in the two research areas exhibit consistency; 3) compare with the traditional CGT model, city Q uses standard distance of crime points to simulate the “buffer zone” of offenders can improve the accuracy of CGT model.
文章引用: 戴 侃 , 李卫红 , 闻 磊 , 陈业滨 (2015) 系列案件犯罪地理目标模型下空间点群综合距离算法优化。 地理科学研究, 4, 16-26. doi: 10.12677/GSER.2015.41003
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