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Research of spatial distribution rules of mass incidents based on GIS

Published: 31 October 2016 Publication History

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.

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  • (2017)Case Database Construction and Temporal-spatial Analysis of Mass Incidents in China Based on GISProceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management10.1145/3152465.3152472(1-4)Online publication date: 7-Nov-2017

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    cover image ACM Conferences
    EM-GIS '16: Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management
    October 2016
    101 pages
    ISBN:9781450345804
    DOI:10.1145/3017611
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 31 October 2016

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    Author Tags

    1. kernel density estimation
    2. mass incidents
    3. spatial autocorrelation
    4. spatial distribution

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    EM-GIS '16 Paper Acceptance Rate 16 of 26 submissions, 62%;
    Overall Acceptance Rate 30 of 54 submissions, 56%

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    • (2017)Case Database Construction and Temporal-spatial Analysis of Mass Incidents in China Based on GISProceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management10.1145/3152465.3152472(1-4)Online publication date: 7-Nov-2017

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