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November 2003 Geographic and Network Surveillance via Scan Statistics for Critical Area Detection
G. P. Patil, C. Taillie
Statist. Sci. 18(4): 457-465 (November 2003). DOI: 10.1214/ss/1081443229

Abstract

Both statistical ecology and environmental statistics have numerous challenges and opportunities in the waiting for the twenty-first century, calling for increasing numbers of nontraditional statistical approaches. Both theoretical and applied ecology are using advancing data analytical and interpretational software and hardware to satisfy public policy and discovery research, variously incorporating geospatial information, site-specific data and remote sensing imagery. We discuss a declared need for geoinformatic surveillance for spatial critical area detection. We explore, for ecological and environmental use, an innovation of the circle-based spatial scan statistic popular in the health sciences.

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G. P. Patil. C. Taillie. "Geographic and Network Surveillance via Scan Statistics for Critical Area Detection." Statist. Sci. 18 (4) 457 - 465, November 2003. https://doi.org/10.1214/ss/1081443229

Information

Published: November 2003
First available in Project Euclid: 8 April 2004

zbMATH: 1055.62133
MathSciNet: MR2109372
Digital Object Identifier: 10.1214/ss/1081443229

Keywords: Geoinformatic surveillance , hot-spot detection , Monte Carlo hypothesis testing , upper level set , upper level set scan statistic

Rights: Copyright © 2003 Institute of Mathematical Statistics

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Vol.18 • No. 4 • November 2003
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