Spatio-Temporal Heterogeneity: Concepts and Analyses

Description

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.

Pierre R. L. Dutilleul is Professor, Department of Plant Science, McGill University, Associate Member, McGill School of Environment and Associate Member, Department of Mathematics and Statistics, McGill University.

'Pierre Dutilleul has written a book that has a friendly style, includes pertinent examples as well as explanations and motivations ... I know of no other book quite like it. I recommend the book highly to students, teachers and researchers in fields including biology, ecology and environmental science as well as in mainstream and applied statistics.' David Brillinger, University of California, Berkeley 'Dutilleul's book achieves the goal of minimizing the conceptual distance between the biologist and the applied statistician ...' Plant Science Bulletin