Abstract
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.
Original language | English (US) |
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Pages (from-to) | 139-164 |
Number of pages | 26 |
Journal | Environmental and Ecological Statistics |
Volume | 11 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2004 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Environmental Science(all)
- Statistics, Probability and Uncertainty