Canonical correspondence analysis
id:
canonical-correspondence-analysis-186-14894236
title:
Canonical correspondence analysis
text:
In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a unimodal combination of measured predictors. CCA is commonly used in ecology in order to extract gradients that drive the composition of ecological communities. CCA extends Correspondence Analysis (CA) with regression, in order to incorporate predictor variables.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Canonical_correspondence_analysis
date created:
2013-10-25T22:49:50Z
date modified:
2024-09-08T17:11:37Z
main entity:
{"identifier":"Q16851643","url":"https://www.wikidata.org/entity/Q16851643"}
image:
fields total:
13
integrity:
14