{"title":"基于GIS的群体性事件空间分布规律研究","authors":"Hu Jun, Shu Xueming, Shen Shifei, Tang Shiyang","doi":"10.1145/3017611.3017621","DOIUrl":null,"url":null,"abstract":"The research of hot-spots is an important subject in public safety field as well as GIS system application, it reveals the spatial distribution law of crime and help develop targeted security preventive strategy, providing safeguards for the whole society. The mass incident is a special kind of public safety incident, but there are little research on its spatial distribution rules from the perspective of geography. This article analyzes the spatial distribution rules of mass incidents in China from the macro point of view and based on the spatial autocorrelation and Kernel density estimation, then finds hot-spots and calculates the degree of spatial agglomeration to express the spatial distribution law of crime.","PeriodicalId":159080,"journal":{"name":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research of spatial distribution rules of mass incidents based on GIS\",\"authors\":\"Hu Jun, Shu Xueming, Shen Shifei, Tang Shiyang\",\"doi\":\"10.1145/3017611.3017621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research of hot-spots is an important subject in public safety field as well as GIS system application, it reveals the spatial distribution law of crime and help develop targeted security preventive strategy, providing safeguards for the whole society. The mass incident is a special kind of public safety incident, but there are little research on its spatial distribution rules from the perspective of geography. This article analyzes the spatial distribution rules of mass incidents in China from the macro point of view and based on the spatial autocorrelation and Kernel density estimation, then finds hot-spots and calculates the degree of spatial agglomeration to express the spatial distribution law of crime.\",\"PeriodicalId\":159080,\"journal\":{\"name\":\"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3017611.3017621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3017611.3017621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of spatial distribution rules of mass incidents based on GIS
The research of hot-spots is an important subject in public safety field as well as GIS system application, it reveals the spatial distribution law of crime and help develop targeted security preventive strategy, providing safeguards for the whole society. The mass incident is a special kind of public safety incident, but there are little research on its spatial distribution rules from the perspective of geography. This article analyzes the spatial distribution rules of mass incidents in China from the macro point of view and based on the spatial autocorrelation and Kernel density estimation, then finds hot-spots and calculates the degree of spatial agglomeration to express the spatial distribution law of crime.
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