Numerical Ecology ( 3 )

Publication series :3

Author: Legendre   P.;Legendre   Loic F J  

Publisher: Elsevier Science‎

Publication year: 2012

E-ISBN: 9780444538697

P-ISBN(Paperback): 9780444538680

P-ISBN(Hardback):  9780444538680

Subject: Q1 General Biology;Q14 Biological Ecology (Ecology);X Environmental Science, Safety Science

Language: ENG

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Description

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

Chapter

Front Cover

pp.:  1 – 4

Numerical Ecology

pp.:  4 – 5

Copyright

pp.:  5 – 6

Contents

pp.:  6 – 13

Preface

pp.:  13 – 18

Chapter 2: Matrix algebra: a summary

pp.:  76 – 126

Chapter 3: Dimensional analysis in ecology

pp.:  126 – 160

Chapter 4: Multidimensional quantitative data

pp.:  160 – 212

Chapter 5: Multidimensional semiquantitative data

pp.:  212 – 236

Chapter 6: Multidimensional qualitative data

pp.:  236 – 282

Chapter 7: Ecological resemblance

pp.:  282 – 354

Chapter 8: Cluster analysis

pp.:  354 – 442

Chapter 9: Ordination in reduced space

pp.:  442 – 538

Chapter 10: Interpretation of ecological structures

pp.:  538 – 642

Chapter 11: Canonical analysis

pp.:  642 – 728

Chapter 12: Ecological data series

pp.:  728 – 802

Chapter 13: Spatial analysis

pp.:  802 – 876

Chapter 14: Multiscale analysis: spatial eigenfunctions

pp.:  876 – 924

References

pp.:  924 – 986

Subject index

pp.:  986 – 1008

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