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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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Related topics

Related topics

3 relations
Correspondence analysisLandscape ecologyPrincipal component analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2009
Review
2009
Canonical Correspondence Analysis in Social Science Research
The use of simple and multiple correspondence analysis is well-established in social science research for understanding… 
Highly Cited
2004
Highly Cited
2004
DIRECT MULTI‐SCALE ORDINATION WITH CANONICAL CORRESPONDENCE ANALYSIS
Gradient analysis uses ordination methods to study the structure of biotic communities caused by biotic processes operating in a… 
Highly Cited
2003
Highly Cited
2003
Fish assemblages across the marine to low salinity transition zone of a temperate estuary
Highly Cited
2003
Highly Cited
2003
Assessing inter- and intra-specific variation in trunk carbon concentration for 32 neotropical tree species
Trunk carbon (C) concentrations were assessed for 32 species of tropical trees to understand sources of vari - ation. The main… 
Highly Cited
2001
Highly Cited
2001
Soil moisture variation in relation to topography and land use in a hillslope catchment of the Loess Plateau, China
Highly Cited
1999
Highly Cited
1999
EDAPHIC FACTORS AND THE LANDSCAPE-SCALE DISTRIBUTIONS OF TROPICAL RAIN FOREST TREES
Tropical rain forests have the highest tree diversity on earth. Nonrandom spatial distributions of these species in relation to… 
Review
1997
Review
1997
A review of methods for the assessment of prediction errors in conservation presence/absence models
Predicting the distribution of endangered species from habitat data is frequently perceived to be a useful technique. Models that… 
Highly Cited
1997
Highly Cited
1997
INFLUENCE OF NOISY ENVIRONMENTAL DATA ON CANONICAL CORRESPONDENCE ANALYSIS
Canonical Correspondence Analysis (CCA) is an increasingly popular method for multivariate analysis of ecological community data… 
Highly Cited
1993
Highly Cited
1993
PUTTING THINGS IN EVEN BETTER ORDER: THE ADVANTAGES OF CANONICAL CORRESPONDENCE ANALYSIS'
Canonical Correspondence Analysis (CCA) is quickly becoming the most widely used gradient analysis technique in ecology. The CCA… 
Highly Cited
1988
Highly Cited
1988
CANOCO - a FORTRAN program for canonical community ordination by [partial] [etrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis (version 2.1)
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