Description

While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks")
Exercises based on data analyses reinforce concepts

Applied Spatial Statistics for Public Health Data

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£150.95

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Hardback by Lance A. Waller , Carol A. Gotway

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While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers,... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 27/07/2004
    ISBN13: 9780471387718, 978-0471387718
    ISBN10: 0471387711

    Number of Pages: 520

    Non Fiction , Education

    Description

    While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
    This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
    Requires only minimal background in public health and only some knowledge of statistics through multiple regression
    Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
    Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks")
    Exercises based on data analyses reinforce concepts

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