Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 210,151,015 papers from all fields of science
Search
Sign In
Create Free Account
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
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
3 relations
Correspondence analysis
Landscape ecology
Principal 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
M. Greenacre
2009
Corpus ID: 118974262
The use of simple and multiple correspondence analysis is well-established in social science research for understanding…
Expand
Highly Cited
2004
Highly Cited
2004
DIRECT MULTI‐SCALE ORDINATION WITH CANONICAL CORRESPONDENCE ANALYSIS
H. Wagner
2004
Corpus ID: 56274536
Gradient analysis uses ordination methods to study the structure of biotic communities caused by biotic processes operating in a…
Expand
Highly Cited
2003
Highly Cited
2003
Fish assemblages across the marine to low salinity transition zone of a temperate estuary
E. Martino
,
K. Able
2003
Corpus ID: 53072294
Highly Cited
2003
Highly Cited
2003
Assessing inter- and intra-specific variation in trunk carbon concentration for 32 neotropical tree species
M. Elias
,
C. Potvin
2003
Corpus ID: 7019176
Trunk carbon (C) concentrations were assessed for 32 species of tropical trees to understand sources of vari - ation. The main…
Expand
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
Y. Qiu
,
B. Fu
,
Jun Wang
,
Liding Chen
2001
Corpus ID: 129485824
Highly Cited
1999
Highly Cited
1999
EDAPHIC FACTORS AND THE LANDSCAPE-SCALE DISTRIBUTIONS OF TROPICAL RAIN FOREST TREES
D. Clark
,
M. Palmer
,
D. Clark
1999
Corpus ID: 42750371
Tropical rain forests have the highest tree diversity on earth. Nonrandom spatial distributions of these species in relation to…
Expand
Review
1997
Review
1997
A review of methods for the assessment of prediction errors in conservation presence/absence models
A. Fielding
,
J. Bell
Environmental Conservation
1997
Corpus ID: 54735661
Predicting the distribution of endangered species from habitat data is frequently perceived to be a useful technique. Models that…
Expand
Highly Cited
1997
Highly Cited
1997
INFLUENCE OF NOISY ENVIRONMENTAL DATA ON CANONICAL CORRESPONDENCE ANALYSIS
B. McCune
1997
Corpus ID: 6243139
Canonical Correspondence Analysis (CCA) is an increasingly popular method for multivariate analysis of ecological community data…
Expand
Highly Cited
1993
Highly Cited
1993
PUTTING THINGS IN EVEN BETTER ORDER: THE ADVANTAGES OF CANONICAL CORRESPONDENCE ANALYSIS'
M. Palmer
1993
Corpus ID: 1352542
Canonical Correspondence Analysis (CCA) is quickly becoming the most widely used gradient analysis technique in ecology. The CCA…
Expand
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)
C. Braak
1988
Corpus ID: 63452178
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE