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Modelling Asthma Epidemiology Using Geographic Information Systems

Janet Gilchrist

出版	Curtin University of Technology., 1999
URL	http://books.google.com.hk/books?id=c35sNAAACAAJ&hl=&source=gbs_api

註釋

A temporal analysis identifies asthma epidemic days, but augmentation with spatial analysis is conceptually unsatisfactory and not practical, given a sparse spatial distribution of cases in Perth. Alternatively, space-time interaction models acknowledge the concurrent operation of spatial and temporal processes, but computational demands are heavy, especially when Monte Carlo methods are required for significance testing. A GIS analysis tool is developed which implements Mantel's space-time regression, and evaluates its significance using an approximate randomization test. It is integrated with a desktop GIS in a way which is transparent to the user, and achieves acceptable execution times for a reasonably large number of points.