IMHE OpenIR
A web-based GIS for crime mapping and decision support
Language英语
Zhou Guiyun1; Lin Jiayuan2; Ma Xiujun3
EditorGregory A. Elmes ; George Roedl ; Jamison Conley
Pages221-243
2014
PublisherSpringer Netherlands
Publication PlaceNew York London
KeywordCrime mapping Web-based GIS Flash HDML5 Rich Internet applications (RIAs)
Indexed ByEI
AbstractTimely mapping of crime locations and accurate detection of spatial concentrations of crime help to identify where crimes concentrate in space and time and thus provide important information for crime reduction efforts of law enforcement. The main objective of this chapter is to design and implement a Web-based GIS for crime mapping and decision support. The prototype system allows users to detect and view crime hotspots in a Web environment in the form of thematic layers overlaid on background data. Four hotspot mapping techniques, i.e., choropleth mapping, grid mapping, spatial ellipse mapping, and kernel density mapping, are implemented. The system can be used for mapping crime hotspots, predicting the locations of future crime, and optimizing crime reduction efforts. It is a rich Internet application and is much more efficient than script-based clients in hotspot detection, map manipulation, and rendering. It is entirely based on open-source software, making it affordable for many small- and medium-sized police departments in developing countries. Results from the prototype development demonstrate that for a Web-based crime mapping and decision support system, rich Internet application technology in combination with open-source software is an effective solution in terms of both system performance and financial cost.
ISBN978-94-017-8756-7
ISSN10.1007/978-94-017-8757-4_11
Accession numberAccession number:20182705447546
Document Type专著章节文集论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23482
Collection中国科学院水利部成都山地灾害与环境研究所
Affiliation1.School of Resources and Environment , University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China;
2.Institute of Mountain Hazards and Environment , Chinese Academy of Sciences, Chengdu 610041 , People’s Republic of China;
3.Key Laboratory of Machine Perception of Ministry of Education, School of Electronics Engineering and Computer Science , Beijing University, Beijing 100871, People’s Republic of China
Recommended Citation
GB/T 7714
Zhou Guiyun,Lin Jiayuan,Ma Xiujun. A web-based GIS for crime mapping and decision support. New York London:Springer Netherlands,2014:221-243.
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