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GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters |
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| Authors: | Ikuho Yamada Peter A. Rogerson Gyoungju Lee |
| Affiliation: | (1) Department of Geography, University of Utah, 260 S. Central Campus Dr. Rm. 270, Salt Lake City, UT 84112-9155, USA;(2) Department of Geography and Department of Biostatistics, University at Buffalo, State University of New York, 105 Wilkeson Quad, Buffalo, NY 14261, USA;(3) Geospatial Information Research Center, Korea Research Institute for Human Settlements, 224 Simin-ro, Dongangu, Anyang-si, Gyeonggi-do, 431-712, Korea |
| Abstract: | This article introduces a software package named GeoSurveillance that combines spatial statistical techniques and GIS routines to perform tests for the detection and monitoring of spatial clustering. GeoSurveillance provides both retrospective and prospective tests. While retrospective tests are applied to spatial data collected for a particular point in time, prospective tests attempt to incorporate the dynamic nature of spatial patterns via analyzing time-series data to detect emergent clusters as quickly as possible. This article will outline the structure of GeoSurveillance as well as describe the statistical cluster detection methods implemented in the software. It concludes with an illustration of the use of the software to analyze the spatial pattern of low birth weights in Los Angeles County, California. |
| Keywords: | Spatial surveillance Cluster detection GIS Prospective analysis Low birth weight |
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