Hello everybody, can you help me to understand the difference between correspondence analysis and canonical correspondence analysis using past application and for which type of data can i use them? Thanks in advance.
Hi Asmaa,
You might find the following chapter useful.
file:///C:/Users/%CE%95%CF%8D%CE%B1/Downloads/History_of_Canonical_Correspondence_Analysis_Cajo_ter_Braak.pdf
Also, there is an older similar discussion that you could read if you are interested.
https://www.researchgate.net/post/Whats_the_diffrence_between_Canonical_analysis_and_Canonical_Correspondence_analysis2
Good luck with everything.
You mind find the article from Ramette 2007 useful:
https://academic.oup.com/femsec/article/62/2/142/434668/
Below some explanation of the difference from the article
CA: The overall aim of the method is to compare the correspondence between samples and species from a table of counted data (or any dimensionally homogenous table) and to represent it in a reduced ordination space (Hill, 1974). Noticeably, instead of maximizing the amount of variance explained by the ordination, CA maximizes the correspondence between species scores and sample scores.
The technique is popular among ecologists because CA is particularly recommended when species display unimodal (bell shaped or Gaussian) relationships with environmental gradients
CCA: CCA can be considered as the constrained form of CA in which the axes are linear combinations of the environmental variables. CCA uses the unimodal model to model species response to the environmental variation as a mathematical simplification to enable the estimation of a large number of parameters and the identification of a small number of ordination axes
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