Numerical Ecology

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

P. Legendre (Author), Louis Legendre (Author)

9780444538680, Elsevier Science

Paperback / softback, published 3 July 2012

1006 pages
23.4 x 19 x 6 cm, 2.04 kg

"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

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.

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

Subject Areas: Environmental monitoring [TQD], Applied ecology [RNC], The environment [RN], Ecological science, the Biosphere [PSAF], Probability & statistics [PBT]