Identifying irregularly shaped crime hot-spots using a multiobjective evolutionary algorithm
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Bibliographic InfoArticle provided by Springer in its journal Journal of Geographical Systems.
Volume (Year): 12 (2010)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=103079
Hot-spots; Crime; Genetic algorithms; Epidemiology; Irregular clusters; Geographic information systems (GIS); Spatial analysis; C49; C61;
Find related papers by JEL classification:
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ningchuan Xiao & David A Bennett & Marc P Armstrong, 2002. "Using evolutionary algorithms to generate alternatives for multiobjective site-search problems," Environment and Planning A, Pion Ltd, London, vol. 34(4), pages 639-656, April.
- Luc Anselin, 2000. "Geographical Spillovers and University Research: A Spatial EconometricPerspective," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 31(4), pages 501-515.
- Duczmal, Luiz & Cancado, Andre L.F. & Takahashi, Ricardo H.C. & Bessegato, Lupercio F., 2007. "A genetic algorithm for irregularly shaped spatial scan statistics," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 43-52, September.
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