Canonical correspondence analysis

Known as: CCA 
In applied statistics, canonical correspondence analysis (CCA) is a multivariate constrained ordination technique that extracts major gradients among… (More)
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2012
2012
Canonical Correspondence Analysis (CCPA)1 is a popular method among ecologists to study species environmental correlations using… (More)
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Highly Cited
2007
Highly Cited
2007
A new multivariate analysis technique, developed to relate community composition to known variation in the environment, is… (More)
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Highly Cited
2007
Highly Cited
2007
Canonical Correspondence Analysis (CCA) is quickly becoming the most widely used gradient analysis technique in ecology. The CCA… (More)
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2006
2006
Canonical correspondece analysis (CCA) was applied to explore revegetation patterns during early succession on Mt Usu. Vegetation… (More)
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Highly Cited
2004
Highly Cited
2004
Canonical correspondence analysis (CCA) is a multivariate method to elucidate the relationships between biological assemblages of… (More)
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Highly Cited
2004
Highly Cited
2004
Canonical correspondence analysis (CCA) is introduced as a multivariate extension of weighted averaging ordination, which is a… (More)
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2004
2004
Gradient analysis uses ordination methods to study the structure of biotic communities caused by biotic processes operating in a… (More)
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2002
2002
Among the various forms of canonical analysis available in the statistical literature, RDA (redundancy analysis) and CCA… (More)
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Highly Cited
1999
Highly Cited
1999
Canonical Correspondence Analysis (CCA) is an increasingly popular method for multivariate analysis of ecological community data… (More)
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Highly Cited
1997
Highly Cited
1997
We present ADE-4, a multivariate analysis and graphical display software. Multivariate analysis methods available in ADE-4… (More)
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