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Numerical ecology

Author: Pierre Legendre; Louis Legendre
Publisher: Amsterdam : Elsevier, 1998.
Series: Developments in environmental modelling, 20.
Edition/Format:   Print book : English : 2. engl. edView all editions and formats
Summary:

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

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Genre/Form: 0 Gesamtdarstellung
Lehrbuch
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Pierre Legendre; Louis Legendre
ISBN: 0444892494 9780444892492 0444892508 9780444892508
OCLC Number: 246137676
Notes: Revised edition of: Ecologie numérique / Louis Legendre. 1983.
Description: XV, 853 Seiten : Diagramme ; 25 cm.
Contents: 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 educed space - projecting data sets in a few dimensions, principle; 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 variability - spectral analysis, detection of discontinuities on multivariate series, Box-Jerkins models; spatial analysis -unconstrained and constrained ordination maps, causal modelling -partial canonical analysis, causal modelling - partial Mantel analysis. (Part contents).
Series Title: Developments in environmental modelling, 20.
Other Titles: Écologie numérique .
Responsibility: Pierre Legendre and Louis Legendre.
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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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