基于GIS的群体性事件空间分布规律研究

Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management Pub Date : 2016-10-31 DOI:10.1145/3017611.3017621

Hu Jun, Shu Xueming, Shen Shifei, Tang Shiyang

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引用次数: 1

摘要

热点研究是公共安全领域的重要课题，也是GIS系统应用的重要课题，它揭示了犯罪的空间分布规律，有助于制定有针对性的安全防范策略，为全社会提供保障。群体性事件是一类特殊的公共安全事件，但从地理学角度对其空间分布规律的研究较少。本文从宏观角度分析中国群体性事件的空间分布规律，基于空间自相关和核密度估计，找到热点，计算空间集聚程度，表达犯罪的空间分布规律。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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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Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management

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