
- 1,006 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Numerical Ecology
About this book
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
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1 Complex ecological data sets
- Chapter 2 Matrix algebra
- Chapter 3 Dimensional analysis in ecology
- Chapter 4 Multidimensional quantitative data
- Chapter 5 Multidimensional semiquantitative data
- Chapter 6 Multidimensional qualitative data
- Chapter 7 Ecological resemblance
- Chapter 8 Cluster analysis
- Chapter 9 Ordination in reduced space
- Chapter 10 Interpretation of ecological structures
- Chapter 11 Canonical analysis
- Chapter 12 Ecological data series
- Chapter 13 Spatial analysis
- Chapter 14 Multiscale analysis
- References
- Subject Index