A computationally efficient method for delineating irregularly shaped spatial clusters
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Bibliographic InfoArticle provided by Springer in its journal Journal of Geographical Systems.
Volume (Year): 13 (2011)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=103079
AMOEBA; Cluster detection; Local G statistic; Ecotope; C02 mathematical methods; C4 econometric and statistical methods: special topics;
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- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
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- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
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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.:
- Ikuho Yamada & Peter Rogerson & Gyoungju Lee, 2009. "GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters," Journal of Geographical Systems, Springer, vol. 11(2), pages 155-173, June.
- Juan C. Duque & Alejandro Betancourt & Freddy Marin, 2013. "An algorithmic approach for simulating realistic irregular lattices," DOCUMENTOS DE TRABAJO CIEF 010937, UNIVERSIDAD EAFIT.
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