Advertisement

Description of Environmental Variables Structures

Chapter

Abstract

This chapter is organised in three parts, corresponding to three data analysis methods: standardised PCA for quantitative variables, Multiple Correspondence Analysis (MCA) for qualitative variables (factors in R), and the Hill and Smith Analysis for tables containing a mix of qualitative and quantitative variables.

References

  1. Dray S (2008) On the number of principal components: a test of dimensionality based on measurements of similarity between matrices. Comput Stat Data Anal 52:2228–2237MathSciNetCrossRefGoogle Scholar
  2. Escoufier Y (1987) The duality diagram: a means of better practical applications. In: Legendre P, Legendre L (eds) Development in numerical ecology. NATO advanced Institute, Serie G. Springer, Berlin, pp 139–156CrossRefGoogle Scholar
  3. Hill M, Smith A (1976) Principal component analysis of taxonomic data with multi-state discrete characters. Taxon 25:249–255CrossRefGoogle Scholar
  4. Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Educ Psychol 24:417–441CrossRefGoogle Scholar
  5. Legendre P, Legendre L (1998) Numerical ecology. Elsevier, AmsterdamzbMATHGoogle Scholar
  6. LeRoux B, Rouanet H (2004) Geometric data analysis. Academic, DordrechtGoogle Scholar
  7. Pearson K (1901) On lines and planes of closest fit to systems of points in space. Philos Mag 2:559–572CrossRefGoogle Scholar
  8. Tenenhaus M, Young FW (1985) An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data. Psychometrika 50(1):91–119MathSciNetCrossRefGoogle Scholar
  9. Verneaux J (1973) Cours d’eau de Franche-Comté (Massif du Jura). Recherches écologiques sur le réseau hydrographique du Doubs. Essai de biotypologie. Thèse de Doctorat d’Etat, BesançonGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratoire de Biométrie et Biologie EvolutiveCNRS UMR 5558 – Université de LyonVilleurbanneFrance
  2. 2.Department of Infectious Disease EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
  3. 3.Centre d’Ecologie et des Sciences de la Conservation (CESCO)Muséum national déHistoire naturelle, CNRS, Sorbonne UniversitéParisFrance

Personalised recommendations