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Mapping rates associated with polygons

Author

Listed:
  • Noel Cressie

    (Department of Statistics, 1958 Neil Avenue, 404 Cockins Hall, The Ohio State University, Columbus, OH 43210-1247, USA (e-mail: ncressie@stat.ohio-state.edu))

  • Hal S. Stern

    (Department of Statistics, Iowa State University, Ames, IA 50011-1210, USA (e-mail: hstern@iastate.edu))

  • Deanne Reber Wright

    (Pioneer Hi-Bred International, Inc., 7300 NW 62 Avenue, Johnston, IA 50131, USA (e-mail: wrightdean@phibred.com))

Abstract

. 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 first 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, specifically disease-incidence rates, and the “polygons” referred to in the title are typically states or counties.

Suggested Citation

  • Noel Cressie & Hal S. Stern & Deanne Reber Wright, 2000. "Mapping rates associated with polygons," Journal of Geographical Systems, Springer, vol. 2(1), pages 61-69, March.
    • Handle: RePEc:kap:jgeosy:v:2:y:2000:i:1:d:10.1007_s101090050031
    DOI: 10.1007/s101090050031
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