Mapping rates associated with polygons
نویسندگان
چکیده
Suppose that geographic data under investigation are rates associated with polygons. For example, disease incidence, mortality, and census undercount data may be displayed as rates. Spatial analysis of data of this sort can be handled very naturally through Bayesian hierarchical statistical modeling, where there is a measurement process at the ®rst level, an explanatory process at the second level, and a prior probability distribution on unknowns at the third level. In our paper, we shall feature epidemiological data, speci®cally disease-incidence rates, and the ``polygons'' referred to in the title are typically states or counties.
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ورودعنوان ژورنال:
- Journal of Geographical Systems
دوره 2 شماره
صفحات -
تاریخ انتشار 2000