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Rating: 
Summary: Great New Spatial Methods Book for Epidemiology
Review: "Spatial Epidemiology" mixes practical application with theory to provide a critical review of methods, challenges, issues, strengths, and limitations of spatial analysis in epidemiology. Subsections of the book progress from types of data, to statistical methods, to disease mapping and clustering, then end with exposures and links to health. Each subsection includes at least one chapter presenting spatial analytical theory, one chapter providing an overview of spatial analytical methods, one chapter reviewing a particular spatial analytical method in depth, a chapter applying a method, and one specialty chapter. Authors have included equations, comprehensive examples from both chronic and infectious diseases, and extensive references to other chapters and other works for each method presented. Earlier chapters provide a thorough background discussion of data issues that will be particularily useful to novices in the field. Statistical chapters assume intermediate or more advanced experience with spatial analysis, however, provide references to background and seminal works that will allow novices to the field to optimize their learning experience. There are several chapters devoted to cluster analysis, Bayesian analysis, and modeling which are particularily useful.Overall, this is a very useful book for researchers at any level of experience with spatial analysis. Although technical terms are used liberally, the overall text is easy to read, clear and concise, serving well as both a teaching text and a reference book. Other useful features: List of abbreviations - very helpful for acronyms; Color maps; Comprehensive index; References - each chapter provides references to other works that provide more detail or background on the method under discussion
Rating:
Summary: Great New Spatial Methods Book for Epidemiology
Review: "Spatial Epidemiology" mixes practical application with theory to provide a critical review of methods, challenges, issues, strengths, and limitations of spatial analysis in epidemiology. Subsections of the book progress from types of data, to statistical methods, to disease mapping and clustering, then end with exposures and links to health. Each subsection includes at least one chapter presenting spatial analytical theory, one chapter providing an overview of spatial analytical methods, one chapter reviewing a particular spatial analytical method in depth, a chapter applying a method, and one specialty chapter. Authors have included equations, comprehensive examples from both chronic and infectious diseases, and extensive references to other chapters and other works for each method presented. Earlier chapters provide a thorough background discussion of data issues that will be particularily useful to novices in the field. Statistical chapters assume intermediate or more advanced experience with spatial analysis, however, provide references to background and seminal works that will allow novices to the field to optimize their learning experience. There are several chapters devoted to cluster analysis, Bayesian analysis, and modeling which are particularily useful. Overall, this is a very useful book for researchers at any level of experience with spatial analysis. Although technical terms are used liberally, the overall text is easy to read, clear and concise, serving well as both a teaching text and a reference book. Other useful features: List of abbreviations - very helpful for acronyms; Color maps; Comprehensive index; References - each chapter provides references to other works that provide more detail or background on the method under discussion
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