2 reviews
Sales Rank: 2975231

Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 208
Shipping Weight (lbs): 1.2
Dimensions (in): 9.8 x 7.5 x 0.6

ISBN: 019850988X
Dewey Decimal Number: 614.40727
EAN: 9780198509882
ASIN: 019850988X

Publication Date: July 25, 2008
Availability: Usually ships in 1-2 business days
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Also Available In:

•	Paperback - Spatial Analysis in Epidemiology

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Editorial Reviews:

Product Description
This book provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology - the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission. In turn, these can be used to understand and predict disease prevalence. This user-friendly text brings together the specialised and widely-dispersed literature on spatial analysis to make these methodological tools accessible to epidemiologists for the first time.
With its focus is on application rather than theory, Spatial Analysis in Epidemiology includes a wide range of examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. Furthermore, it provides worked examples of methodologies using a single data set from the same disease example throughout, and is structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support. This accessible text is aimed at graduate students and researchers dealing with spatial data in the fields of epidemiology (both medical and veterinary), ecology, zoology and parasitology, environmental science, geography and statistics.

Customer Reviews:

3 out of 5 stars

Not for beginners October 22, 2008
This book includes more types of spatial analyses than I have previously seen under one roof, so to speak. However, it does not cover any analyses in detail, nor does it provide any worked examples! As a consequence, this book is not appropriate for those who are new to spatial stats or who need some practical experience with them. For practitioners who are already familiar with basic spatial analyses (e.g. Moran's I, semivariance), then the book offers some related methods and does a nice job of concisely summarizing and comparing different tests.

4 out of 5 stars

Easy and good October 20, 2008
A very good book and very easy to read. It is a good introduction to spatial analysis, statistic is exhaustive although somewhat superficial, and the examples are good. Black and white maps are a problem during reading, although this was solved with the same maps in color in the middle of the book. I am interested in the spatial analisis of the diagnostic lab data and the book has been a good help.