CO-INERTIA ANALYSIS AND THE LINKING OF ECOLOGICAL DATA TABLES

CO-INERTIA ANALYSIS AND THE LINKING OF ECOLOGICAL DATA TABLES Ecological studies often require studying the common structure of a pair of data tables. Co-inertia analysis is a multivariate method for coupling two tables. It is often neglected by ecologists who prefer the widely used methods of redundancy analysis and canonical correspondence analysis. We present the co-inertia criterion for measuring the adequacy between two data sets. Co-inertia analysis is based on this criterion as are canonical correspondence analysis or canonical correlation analysis, but the latter two have additional constraints. Co-inertia analysis is very flexible and allows many possibilities for coupling. Co-inertia analysis is suitable for quantitative and/or qualitative or fuzzy environmental variables. Moreover, various weighting of sites and various transformations and/or centering of species data are available for this method. Hence, more ecological considerations can be taken into account in the statistical procedures. Moreover, the principle of this method is very general and can be easily extended to the case of distance matrices or to the case of more than two tables. Simulated ecological data are used to compare the co-inertia approach with other available methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecology Ecological Society of America

CO-INERTIA ANALYSIS AND THE LINKING OF ECOLOGICAL DATA TABLES

Ecology, Volume 84 (11) – Nov 1, 2003

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Publisher
Ecological Society of America
Copyright
Copyright © 2003 by the Ecological Society of America
Subject
Regular Article
ISSN
0012-9658
DOI
10.1890/03-0178
Publisher site
See Article on Publisher Site

Abstract

Ecological studies often require studying the common structure of a pair of data tables. Co-inertia analysis is a multivariate method for coupling two tables. It is often neglected by ecologists who prefer the widely used methods of redundancy analysis and canonical correspondence analysis. We present the co-inertia criterion for measuring the adequacy between two data sets. Co-inertia analysis is based on this criterion as are canonical correspondence analysis or canonical correlation analysis, but the latter two have additional constraints. Co-inertia analysis is very flexible and allows many possibilities for coupling. Co-inertia analysis is suitable for quantitative and/or qualitative or fuzzy environmental variables. Moreover, various weighting of sites and various transformations and/or centering of species data are available for this method. Hence, more ecological considerations can be taken into account in the statistical procedures. Moreover, the principle of this method is very general and can be easily extended to the case of distance matrices or to the case of more than two tables. Simulated ecological data are used to compare the co-inertia approach with other available methods.

Journal

EcologyEcological Society of America

Published: Nov 1, 2003

Keywords: canonical correlation analysis ; canonical correspondence analysis ; co-inertia analysis ; multi-table analysis ; ordination ; redundancy analysis ; statistical analysis

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