城市入室盗窃时空点模式分析

摘要

In order to find the time-space distribution features of urban burglary , this paper utilized the sequential kernel density es-timation and the spatio-temporal K-function methods to analyze the hot spots and the spatio -temporal clustering patterns of burgla-ry in Jiang’an District, Wuhan city.The results show that, both spatial concentration and spatio -temporal clustering existed in the area under study .The hot spots were relatively stable over time , and the space -time clustering was significant primarily within a small spatial distance and time period .Also the degree of clustering decayed very fast moving along the spatial and temporal dimen-sions.The results can provide a scientific reference for crime prevention plans .%为探究城市入室盗窃犯罪的时空分布特征，基于分时段核密度估计和时空K函数方法，对武汉市江岸区入室盗窃案件的热点区域分布以及时空聚集模式进行分析。实验结果表明，入室盗窃案件同时存在空间聚集和时空聚集现象。热点区域相对稳定，显著的时空聚集现象集中在近时空区域内，而且聚集程度总体上呈现出时空衰减趋势。所得到的结果可为制定犯罪预防策略提供科学参考。