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. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the,analysis of serniquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.
Author(s): Pierre Legendre and Louis Legendre (Eds.)
Series: Developments in Environmental Modelling 20
Edition: 2nd edition
Publisher: Elsevier Science
Year: 1998
Language: English
Commentary: 44578
Pages: 1-853
Content:
Developments in Environmental Modelling
Page ii
Front Matter
Page iii
Copyright page
Page iv
Preface
Pages xi-xv
PIERRE LEGENDRE, LOUIS LEGENDRE
Chapter 1 - Complex ecological data sets
Pages 1-50
Chapter 2 - Matrix algebra: a summary
Pages 51-95
Chapter 3 - Dimensional analysis in ecology
Pages 97-129
Chapter 4 - Multidimensional quantitative data
Pages 131-184
Chapter 5 - Multidimensional semiquantitative data
Pages 185-205
Chapter 6 - Multidimensional qualitative data
Pages 207-245
Chapter 7 - Ecological resemblance
Pages 247-302
Chapter 8 - Cluster analysis
Pages 303-385
Chapter 9 - Ordination in reduced space
Pages 387-480
Chapter 10 - Interpretation of ecological structures
Pages 481-574
Chapter 11 - Canonical analysis
Pages 575-635
Chapter 12 - Ecological data series
Pages 637-705
Chapter 13 - Spatial analysis
Pages 707-785
Bibliography
Pages 787-832
Tables
Pages 833-837
Subject index
Pages 839-853
