Numerical Ecology

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.

An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data
Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods
All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research
All calculations are available in R language functions

Autorentext
Pierre Legendre, geb. 1930, ist Rechtshistoriker mit einem weiten psychoanalytischen, kultur- und religionshistorischen Hintergrund. Er lehrt an der Pariser 'École pratique des Hautes Études'.

Inhalt
Preface 1. Complex ecological data sets 2. Matrix algebra: a summary 3. Dimensional analysis in ecology 4. Multidimensional quantitative data 5. Multidimensional semiquantitative data 6. Multidimensional qualitative data 7. Ecological resemblance 8. Cluster analysis 9. Ordination in reduced space 10. Interpretation of ecological structures 11. Canonical analysis 12. Ecological data series 13. Spatial analysis 14. Multiscale analysis: spatial eigenfunctions Bibliography Subject index

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