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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… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2001
Highly Cited
2001
The species composition of reef-fish assemblages from nine Brazilian major coastal sites and four oceanic islands are compared… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
1992
Highly Cited
1992
1. Histories of changing land use and vegetation of a 380-ha forested area in central Massachusetts (Prospect Hill tract of the… Expand
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Highly Cited
1988
Highly Cited
1988
 
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