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Multivariate Analysis of Ecological Data with ade4. 1st ed. 2018

種類:
電子ブック
責任表示:
by Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
出版情報:
New York, NY : Springer New York : Imprint: Springer, 2018
著者名:
Thioulouse, Jean.
Dray, Stéphane.
Dufour, Anne-Béatrice.
Siberchicot, Aurélie.
Jombart, Thibaut.
Pavoine, Sandrine.
SpringerLink (Online service)
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ISBN:
9781493988501 [1493988506]  CiNii Books  Calil
注記:
Chapter 1: Introduction -- Chapter 2: Useful R functions and data structures -- Chapter 3: The dudi class -- Chapter 4: Multivariate analysis graphs -- Chapter 5: Description of environmental variables structures -- Chapter 6: Description of species structures -- Chapter 7: Taking into account groups of sites -- Chapter 8: Description of species-environment relationships -- Chapter 9: Analysing changes in structures -- Chapter 10: Analysing changes in co-structures -- Chapter 11: Relating species traits to environment -- Chapter 12: Analysing spatial structures -- Chapter 13: Analysing phylogenetic structures -- Chapter 14: Analysing phylogenetic structuresAnalysing patterns of biodiversity.
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the ana
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