Spatio-temporal heterogeneity : concepts and analyses /

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Bibliographic Details
Author / Creator:Dutilleul, Pierre, 1961-
Imprint:Cambridge ; New York : Cambridge University Press, 2011.
Description:xxii, 393 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.).
Language:English
Series:Ecology, biodiversity and conservation
Ecology, biodiversity, and conservation.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8450719
Hidden Bibliographic Details
ISBN:9780521791274 (hardback)
0521791278 (hardback)
9781107400351 (paperback)
110740035X (paperback)
Notes:Includes bibliographical references and indexes.
Summary:"Attempts by ecologists to establish models for predicting the growth of a population or the fluctuations of a natural resource can be confounded by environmental heterogeneity. Spatio-Temporal Heterogeneity explores a range of available statistical methods to help ecologists in the attempt to unravel complexities, demonstrating how to place these changes into an understandable statistical framework. It addresses several key questions, including how to interpret the parameters of statistical models in relation to the biological and environmental realities, how to design a study to collect the best sample data and how to avoid pitfalls in modelling, design, statistical assessment and interpretation. Dutilleul uses a variety of examples to facilitate understanding, from plant ecology, earth and atmospheric sciences, animal biology, forestry and limnology. The accompanying CD-ROM contains MATLAB and SAS codes to aid analyses"--
Review by Choice Review

Researchers studying environmental questions, such as geologists, ecologists, hydrologists, and meteorologists, frequently face the task of identifying patterns and revealing underlying processes obscured by spatial and temporal variation. Dutilleul's book provides the explanatory background and many statistical procedures necessary for researchers to separate the important information from random variation that always co-occur in field data. The text is written for two audiences. Mathematically dense sections are intended for mathematicians who may find themselves advising field researchers; these sections are interspersed among sections of case histories and idealized constructs that will be more useful for environmental researchers. Both audiences are small. This is not an introductory work; it is highly specialized, demanding extensive relevant experience and careful, thoughtful attention from its reader. Dutilleul (McGill Univ., Canada) is a global leader in the subject of analyzing spatial and temporal variation, and the high quality and currency of the text reflect his status. The only weakness is that the book does not include any statistical routines written in R, which is becoming the universal statistical programming language (code is provided for a few other programming platforms). Summing Up: Recommended. Graduate students and above. S. R. Fegley University of North Carolina at Chapel Hill

Copyright American Library Association, used with permission.
Review by Choice Review