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.
Author(s): Pierre Legendre, Louis Legendre (Eds.)
Series: Developments in Environmental Modelling 24
Edition: 3rd
Publisher: Academic Press, Elsevier
Year: 2012
Language: English
Pages: 1-990
Content:
Copyright
Page iv
Preface
Pages xii-xvi
Pierre Legendre, Louis Legendre
Chapter 1 - Complex ecological data sets
Pages 1-57
Pierre Legendre, Louis Legendre
Chapter 2 - Matrix algebra: a summary
Pages 59-107
Pierre legendre, Louis legendre
Chapter 3 - Dimensional analysis in ecology
Pages 109-142
Pierre Legendre, Louis Legendre
Chapter 4 - Multidimensional quantitative data
Pages 143-194
Pierre Legendre, Louis Legendre
Chapter 5 - Multidimensional semiquantitative data
Pages 195-218
Pierre Legendre, Louis Legendre
Chapter 6 - Multidimensional qualitative data
Pages 219-264
Pierre Legendre, Louis Legendre
Chapter 7 - Ecological resemblance
Pages 265-335
Pierre Legendre, Louis Legendre
Chapter 8 - Cluster analysis
Pages 337-424
Pierre Legendre, Louis Legendre
Chapter 9 - Ordination in reduced space
Pages 425-520
Pierre legendre, Louis legendre
Chapter 10 - Interpretation of ecological structures
Pages 521-624
Pierre Legendre, Louis Legendre
Chapter 11 - Canonical analysis
Pages 625-710
Pierre Legendre, Louis Legendre
Chapter 12 - Ecological data series
Pages 711-783
Pierre Legendre, Louis Legendre
Chapter 13 - Spatial analysis
Pages 785-858
Pierre Legendre, Louis Legendre
Chapter 14 - Multiscale analysis: spatial eigenfunctions
Pages 859-906
Pierre Legendre, Louis Legendre
References
Pages 907-968
Pierre Legendre, Louis Legendre
Subject Index
Pages 969-990
