Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 533118
Title Algorithms and biplots for double constrained correspondence analysis
Author(s) Braak, Cajo J.F. Ter; Šmilauer, Petr; Dray, Stéphane
Source Environmental and Ecological Statistics 25 (2018)2. - ISSN 1352-8505 - p. 171 - 197.
DOI http://dx.doi.org/10.1007/s10651-017-0395-x
Department(s) PE&RC
Biometris (PPO/PRI)
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Biplot - Canonical correlation analysis - Canonical correspondence analysis - Community ecology - Fourth-corner correlation - Multivariate analysis - Trait-environment relations
Abstract Correspondence analysis with linear external constraints on both the rows and the columns has been mentioned in the ecological literature, but lacks full mathematical treatment and easily available algorithms and software. This paper fills this gap by defining the method as maximizing the fourth-corner correlation between linear combinations, by providing novel algorithms, which demonstrate relationships with related methods, and by making a detailed study of possible biplots and associated approximations. The method is illustrated using ecological data on the abundances of species in sites and where the species are characterized by traits and sites by environmental variables. The trait data and environment data form the external constraints and the question is which traits and environmental variables are associated, how these associations drive species abundances and how they can be displayed in biplots. With microbiome data becoming widely available, these and related multivariate methods deserve more study as they might be routinely used in the future.
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