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Numerical ecology

Author: Pierre Legendre; Louis Legendre
Publisher: Amsterdam ; New York : Elsevier, 1998.
Series: Developments in environmental modelling, 20.
Edition/Format:   eBook : Document : English : 2nd English edView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Legendre, Pierre, 1946-
Numerical ecology.
Amsterdam ; New York : Elsevier, 1998
(DLC) 98045198
(OCoLC)39930331
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Pierre Legendre; Louis Legendre
ISBN: 9780444892492 0444892494 9780080523170 008052317X 9780080537870 0080537871 0444892508 9780444892508
OCLC Number: 162589450
Notes: Revised edition of: Ecologie numérique / Louis Legendre. 1983.
Description: 1 online resource (xv, 853 pages) : illustrations
Contents: Chapter headings and selected parts: Preface. Complex Ecological Data Sets. Numerical analysis of ecological data. Statistical testing by permutation. Ecological descriptors. Matrix Algebra: A Summary. The ecological data matrix. Vectors and scaling. Eigenvalues and eigenvectors. Dimensional Analysis in Ecology. Fundamental principles and the Pi theorem. Scale factors and models. Multidimensional Quantitative Data. Multidimensional variables and dispersion matrix. Multinormal distribution. Tests of normality and multinormality. Multidimensional Semiquantitative data. Nonparametric statistics. Quantitative, semiquantitative, and qualitative multivariates. Multidimensional Qualitative Data. Multiway contingency tables. Species diversity. Ecological Resemblance. The basis for clustering and ordination. Association coefficients. R mode: coefficients of dependence. Cluster Analysis. The basic model: single linkage clustering. Cophenetic matrix and ultrametric property. Hierarchical divisive clustering. Ordination in Reduced Space. Projecting data sets in a few dimensions. Principal component analysis (PCA). Nonmetric multidimensional scaling (MDS). Interpretation of Ecological Structures. Ecological structures. The mathematics of ecological interpretation. The 4th-corner problem. Canonical Analysis. Redundancy analysis (RDA). Canonical correspondence analysis (CCA). Canonical analysis of species data. Ecological Data Series. Characteristics of data series and research objectives. Trend extraction and numerical filters. Periodic variabilty: spectral analysis. Detection of discontinuities on multivariate series. Box-Jenkins models. Spatial Analysis. Unconstrained and constrained ordination maps. Causal modelling: partial canonical analysis. Causal modelling: partial Mantel analysis. Bibliography. Tables. Subject index.
Series Title: Developments in environmental modelling, 20.
Other Titles: Écologie numérique.
Responsibility: Pierre Legendre and Louis Legendre.
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Abstract:

This text describes and discusses the numerical methods which are successfully being used for analyzing ecological data, using a clear and comprehensive approach.  Read more...

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D.H. Cushing...The text is well written and very clear, it is so clear that the reader is seduced to read further; I found myself happily reading page after page. The authors are masters of their Read more...

 
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