Description of Species Structures

Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart and Sandrine Pavoine
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Jean Thioulouse: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Stéphane Dray: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Anne-Béatrice Dufour: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Aurélie Siberchicot: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Thibaut Jombart: London School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology
Sandrine Pavoine: Muséum national déHistoire naturelle, CNRS, Sorbonne Université, Centre d’Ecologie et des Sciences de la Conservation (CESCO)

Chapter Chapter 6 in Multivariate Analysis of Ecological Data with ade4, 2018, pp 97-117 from Springer

Abstract: Abstract Several simple data analysis methods can be used to analyse species data tables, i.e., tables having sites as rows and species as columns. Like in the previous chapter, simple means that these methods are adapted to the analysis of only one table. Three particular data analysis methods will be studied here: Correspondence Analysis (CA), centred Principal Component Analysis (cPCA), and Principal Coordinate Analysis (PCoA).

Keywords: Principal Coordinate Analysis (PCoA); Simple Data Analysis Methods; Correspondence Analysis (CA); Trout Zone; Co-inertia Analysis (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-1-4939-8850-1_6

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