GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters

被引：0
作者：
Ikuho Yamada
Peter A. Rogerson
Gyoungju Lee
机构：
[1] University of Utah,Department of Geography
[2] University at Buffalo,Department of Geography and Department of Biostatistics
[3] State University of New York,Geospatial Information Research Center
[4] Korea Research Institute for Human Settlements,undefined
来源：
Journal of Geographical Systems | 2009年 / 11卷
关键词：
Spatial surveillance; Cluster detection; GIS; Prospective analysis; Low birth weight; I100 Health: General; C020 Mathematical Methods; C880 Data Collection and Data Estimation Methodology; Computer Programs; Other Computer Software;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：155 / 173
页数：18
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