Data Analysis in Community and Landscape Ecology / Edition 1

by R. H. G. Jongman, C. J. F. Ter Braak, O. F. R. van Tongeren

Overview

Ecologists need to analyze their field data to interpret relationships within plant and animal communities and with their environments. The purpose of this book is to show ecologists and environmental scientists what numerical and statistical methods are most useful, how to use them and interpret the results from them, and what pitfalls to avoid. Subjects treated include data requirements, regression analysis, calibration (or inverse regression), ordination techniques, cluster analysis, and spatial analysis of ecological data. The authors take pains to use only elementary mathematics and explain the ecological models behind the techniques. Exercises and solution are provided for practice. This is the only book written specifically for ecologists that explains such techniques as logistic regression, canonical correspondence analysis, and kriging (statistical manipulation of data). This is a reissue of a book first published in 1987 by Pudoc (The Netherlands).

Product Details

ISBN-13:	9780521475747
Publisher:	Cambridge University Press
Publication date:	03/02/1995
Edition description:	New ed., with corr
Pages:	324
Product dimensions:	5.98(w) x 9.02(h) x 0.91(d)

Table of Contents

List of contributors; Preface to first edition; Acknowledgement; List of symbols; Dune meadow data; 1. Introduction R. H. G. Jongman; 2. Data collection J. C. Jager and C. W. N. Looman; 3. Regression C. J. F. ter Braak and C. W. N. Looman; 4. Calibration C. J. F. ter Braak; 5. Ordination C. J. F. ter Braak; 6. Cluster analysis O. F. R. van Tongeren; 7. Spatial aspects of ecological data P. A. Burrough; 8. Numerical methods in practice: case-studies P. A. Burrough, J. A. F. Oudhof, A. Barendregt, R. H. G. Jongman and T. J. van de Nes; References; Index.

Editorial Reviews

"The book's strong point is the explanation of how the various analysis methods work. The authors include a surprising amount of detail without difficult mathematics." Michael F. Merigliano, Natural Areas Journal

From the Publisher