Multivariate Analysis of Ecological Communities

Multivariate Analysis of Ecological Communities

Multivariate Analysis of Ecological Communities

Multivariate Analysis of Ecological Communities

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Overview

This text brings together many techniques of multivariate analysis appropriate for ecological data. The techniques include the familiar, and some less familiar, methods for ordination and classification, and also some special techniques (for example, methods for analyzing asymmetric association matrices and for comparing several different ordinations). A key is provided to assist in choice of methods. A particular strength of the book lies in the numerous illustrative examples.

Product Details

ISBN-13: 9780412246500
Publisher: Springer Netherlands
Publication date: 01/31/1987
Series: Population and Community Biology Series , #5
Pages: 206
Product dimensions: 6.10(w) x 9.25(h) x (d)
Age Range: 18 Years

Table of Contents

1 Ecological data.- 1.1 Types of data.- 1.2 Forms of data.- 1.3 Standardization and transformation of data.- 1.4 Constructing association data.- 2 Preliminary inspection of data.- 2.1 Displaying data values.- 2.2 Mapping.- 2.3 Displaying distributions of variables.- 2.4 Bivariate and multivariate displays.- 3 Ordination.- 3.1 Direct gradient analysis.- 3.2 Principal components analysis.- 3.3 Correspondence analysis.- 3.4 Ordination methods when rows or columns are grouped.- 3.5 Principal coordinates analysis.- 3.6 The horseshoe effect.- 3.7 Non-metric ordination.- 3.8 Case studies.- 4 Methods for comparing ordinations.- 4.1 Procrustes rotation.- 4.2 Generalized Procrustes analysis.- 4.3 Comparing ordination methods by multiple Procrustes analysis.- 5 Classification.- 5.1 Agglomerative hierarchical methods.- 5.2 Divisive hierarchical methods.- 5.3 Non-hierarchical classification.- 5.4 Visual displays for classification.- 5.5 Case study.- 5.6 Methods for comparing classifications.- 6 Analysis of asymmetry.- 6.1 Row and column plots.- 6.2 Skew-symmetry analysis.- 6.3 Case studies.- 6.4 A proof of the triangle-area theorem.- 7 Computing.- 7.1 Computing options.- 7.2 Examples of Genstat programs.- 7.3 Handling missing values.- 7.4 Conclusion.- 7.5 List of software.- References.- Appendix Matrix algebra.- A.1 Matrices and vectors.- A.2 Particular forms of matrices.- A.3 Simple matrix operations.- A.4 Simple geometry and some special matrices.- A.5 Matrix inversion.- A.6 Scalar functions of matrices.- A.7 Orthogonal matrices.- A.8 Matrix decompositions.- A.9 Conclusion.
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