基于时空地理加权协同区位商的犯罪时空关联模式研究  

Research on Crime Spatio-temporal Association Pattern Based on Geographically and Temporally Weighted Colocation Quotient

作　　者：李玲 麦雄发 李珊 LI Ling;MAI Xiongfa;LI Shan(Key Lab of Environmental Change and Resource Use in Beibu Gulf(BGERLR),Ministry of Education,Nanning Normal University,Nanning 530001,China;School of Mathematical and Statistics,Nanning Normal University,Nanning 530001,China)

机构地区：[1]南宁师范大学北部湾环境演变与资源利用教育部重点实验室,广西南宁530001 [2]南宁师范大学数学与统计学院,广西南宁530001

出　　处：《地理空间信息》2024年第9期1-6,共6页Geospatial Information

基　　金：国家自然科学基金资助项目(41961062)。

摘　　要：犯罪是典型的时空事件数据,各类犯罪事件在时空上存在相互影响和相互关联的关系。为挖掘不同犯罪事件的时空关联,利用时空地理加权协同区位商模型,分析了英国曼彻斯特各个城市犯罪时空关联模式的总体特征和局域空间关联。结果表明,在全局特征上,各城区同类犯罪在时空上均表现出不同程度的聚集模式,不同类犯罪之间的相互时空关联关系存在显著差异;在局部特征上,自行车盗窃和抢劫在各城区分布模式的时空异质性较小,而毒品和个人盗窃在各城区的时空异质性较大。研究成果有助于治安管理部门重点监控犯罪行为和合理部署警力资源。Crime is a typical spatio-temporal incident data,and each types of crime have influence and correlation in time and space.In order to explore the spatio-temporal correlation of different types of crime,we used the geographically and temporally weighted colocation quotient(GTWCLQ)to analyze the global and local spatial correlation of crime patterns in Manchester,England.The results indicate that the same category crime in each cities exhibits aggregation pattern in time and space,and there are significant differences in the spatio-temporal correlation between different category crimes in terms of global characteristics.In terms of local characteristics,the spatio-temporal heterogeneity of bicycle theft and robbery distribution patterns in different urban areas is relatively small,while the spatio-temporal heterogeneity of drug and personal theft are relatively large in different urban areas.The research results are of great significance to the public security management department in focusing on monitoring criminal behavior and deploying police resources in a reasonable manner.

关 键 词：时空地理加权协同定位商 时空数据 犯罪模式 时空关联 

分 类 号：P208[天文地球—地图制图学与地理信息工程]