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Canonical correspondence analysis

Known as: CCA 
In applied statistics, canonical correspondence analysis (CCA) is a multivariate constrained ordination technique that extracts major gradients among… 
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Papers overview

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2014
2014
This is a "Post-Print" accepted manuscript, which has been published in J. Blasius and M. Greenacre, editors. (2014… 
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Review
2009
Review
2009
The use of simple and multiple correspondence analysis is well-established in social science research for understanding… 
Highly Cited
2004
Highly Cited
2004
Gradient analysis uses ordination methods to study the structure of biotic communities caused by biotic processes operating in a… 
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Highly Cited
2003
Highly Cited
2003
Trunk carbon (C) concentrations were assessed for 32 species of tropical trees to understand sources of vari - ation. The main… 
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Highly Cited
1999
Highly Cited
1999
Tropical rain forests have the highest tree diversity on earth. Nonrandom spatial distributions of these species in relation to… 
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Review
1997
Review
1997
Predicting the distribution of endangered species from habitat data is frequently perceived to be a useful technique. Models that… 
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Highly Cited
1997
Highly Cited
1997
Canonical Correspondence Analysis (CCA) is an increasingly popular method for multivariate analysis of ecological community data… 
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Highly Cited
1993
Highly Cited
1993
Canonical Correspondence Analysis (CCA) is quickly becoming the most widely used gradient analysis technique in ecology. The CCA… 
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Highly Cited
1988
Highly Cited
1988