Detection and delineation of critical areas using echelons and spatial scan statistics with synoptic cellular data
Geographical surveillance for hotspot detection and delineation has become an important area of investigation both in geospatial ecosystem health and in geospatial public health. In order to find critical areas based on synoptic cellular data, geospatial ecosystem health investigations apply recentl...
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Published in: | Environmental and ecological statistics Vol. 11; no. 2; pp. 139 - 164 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Dordrecht
Springer Nature B.V
01-06-2004
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Subjects: | |
Online Access: | Get full text |
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Summary: | Geographical surveillance for hotspot detection and delineation has become an important area of investigation both in geospatial ecosystem health and in geospatial public health. In order to find critical areas based on synoptic cellular data, geospatial ecosystem health investigations apply recently discovered echelon tools. In order to find elevated rate areas based on synoptic cellular data, geospatial public health investigations apply recently discovered spatial scan statistic tools. The purpose of this paper is to conceptualize a joint role for these together in the spirit of a cross-disciplinary cross-fertilization to accomplish more effective and efficient geographical surveillance for hotspot detection and delineation, and early warning system.[PUBLICATION ABSTRACT] |
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ISSN: | 1352-8505 1573-3009 |
DOI: | 10.1023/B:EEST.0000027206.37518.c4 |