Spatial Analysis of Disease

  • Linda Williams Pickle
Part of the Cancer Treatment and Research book series (CTAR, volume 113)


Cancer rate comparisons around the world suggest clear geographic differences that have only recently been appreciated and evaluated by statistical methods. The goal of this chapter is to briefly review the progression of the spatial analysis of disease from simple dot maps and crude rate comparisons to the complex hierarchical spatial models used today. After providing a historical background and necessary epidemiologic fundamentals, we summarize available methods for the exploration, hypothesis testing, and modeling of spatial data. Although the focus here is on methods appropriate for cancer research, other related methods will be mentioned.


Spatial Analysis Behavioral Risk Factor Surveillance System Cancer Rate Royal Statistical Society Variogram Modeling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Linda Williams Pickle
    • 1
  1. 1.National Cancer InstituteUSA

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