Numerical Ecology

by P. Legendre, Louis Legendre

Overview

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others.

Product Details

ISBN-13:	9780444538680
Publisher:	Elsevier Science
Publication date:	08/06/2012
Series:	Developments in Environmental Modelling , #24
Edition description:	New Edition
Pages:	1006
Product dimensions:	9.20(w) x 7.40(h) x 2.10(d)

Table of Contents

Preface1. Complex ecological data sets2. Matrix algebra: a summary3. Dimensional analysis in ecology4. Multidimensional quantitative data5. Multidimensional semiquantitative data6. Multidimensional qualitative data7. Ecological resemblance8. Cluster analysis9. Ordination in reduced space10. Interpretation of ecological structures11. Canonical analysis12. Ecological data series13. Spatial analysis14. Multiscale analysis: spatial eigenfunctionsBibliographySubject index

What People are Saying About This

From the Publisher

Clear and comprehensive approach to the numerical methods that are successfully used for analysing ecological data

Editorial Reviews

"Pierre Legendre…and Louis Legendre… present this text of data analysis methods for ecologists, with an emphasis on use of the statistical computer language R. The book begins by articulating salient points about ecological data in particular, such as the many functional correlations that must be adjusted for without ascribing as-yet-unexplained variation to random noise, then covers the mathematical foundations of matrix algebra and dimensional analysis."—Reference & Research Book News, December 2013"What I really love about this book is that for most methods the formulae are given. Thus, we learn the statistical rea-soning, the mathematics and the ecological interpretation…Numerical Ecology is a definite must-have for any quanti-tative ecologist."—Basic and Applied Ecology, December 2013

From the Publisher

Describes and discusses numerical methods for analyzing ecological data that are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, and econometry. Topics include complex ecological data sets; matrix algebra; dimensional analysis in ecology; multidimensional quantitative, semiquantitative, and qualitative data; cluster analysis; ordination in reduced space; interpretation of ecological structures; canonical analysis; ecological data series; and spatial analysis. There are sections listings available computer programs and packages at the end of several chapters. Annotation c. by Book News, Inc., Portland, Or.

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