Abstract
In Chapter 12, we discussed PCA and RDA. Both techniques are based on the correlation or covariance coefficient. In this chapter, we introduce correspondence analysis (CA) and canonical correspondence analysis (CCA). We start by giving a historical insight into the techniques community ecologists have used most during the last two decades. This chapter is mainly based on Greenacre (1984), Ter Braak (1985, 1986), Ter Braak and Verdonschot (1995), Legendre and Legendre (1998) and Lepš and Šmilauer (2003).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Rights and permissions
Copyright information
© 2007 Springer Science + Business Media, LLC
About this chapter
Cite this chapter
(2007). Correspondence analysis and canonical correspondence analysis. In: Analysing Ecological Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-45972-1_13
Download citation
DOI: https://doi.org/10.1007/978-0-387-45972-1_13
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-45967-7
Online ISBN: 978-0-387-45972-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)