Spatio-Temporal Heterogeneity Concepts and Analyses

About this book

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.

Contents

Foreword; Preface; 1. Conceptual introduction; 2. Spatio-temporal stochastic processes: definitions and properties; 3. Heterogeneity analysis of spatial point patterns; 4. Heterogeneity analysis of temporal and spatio-temporal point patterns; 5. Heterogeneity analysis of point patterns: process modeling and summary; 6. Heterogeneity analysis of time series; 7. Heterogeneity analysis of spatial surface patterns; 8. Heterogeneity analysis of spatio-temporal surface patterns; 9. Sampling and study design aspects in heterogeneity analysis of surface patterns; 10. Conclusions; Index.

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Biography

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.