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© 2018

Multivariate Analysis of Ecological Data with ade4

Benefits

  • Covers Data importation and Analysis of ecological data in ade4

  • Covers Data Segmentation and full use of ade4 methods and techniques

  • Covers in Detail many multivariate modeling techniques

Book

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 1-12
  3. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 13-28
  4. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 29-51
  5. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 53-76
  6. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 77-96
  7. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 97-117
  8. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 119-140
  9. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 141-166
  10. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 167-204
  11. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 205-222
  12. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 223-237
  13. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 239-260
  14. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 261-280
  15. Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, Sandrine Pavoine
    Pages 281-294
  16. Back Matter
    Pages 295-329

About this book

Introduction

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 analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs.

In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.


Keywords

Biostatistics Multivariate Analysis R Applications Statistical Ecology ade 4

Authors and affiliations

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

About the authors

Jean Thioulouse holds a PhD (1985) and a Habilitation Thesis (1996) from the University of Lyon, France. He is the author of more than 100 scientific papers (orcid.org/0000-0001-7664-0598) and has received grants from various institutions, including the University of Lyon, the CNRS and the French National Research Agency. He is senior scientist at the CNRS, currently working in the Biometry and Evolutionary Biology Department of the University of Lyon. His research activity is focused on the development of statistical methods applied to the analysis of ecological data.

Stéphane Dray holds a PhD (2003) and a Habilitation Thesis (2016) from the University of Lyon, France. He is senior scientist at the CNRS, currently working in the Biometry and Evolutionary Biology Department of the University of Lyon. He is a statistical ecologist mainly interested by the analysis of spatial and multivariate data, with a special emphasis on community ecology. He co-authored several R packages including ade4, adegraphics, adespatial and adephylo.  

Anne-Béatrice Dufour holds a PhD (1989) and a Habilitation Thesis (1996) from the University of Lyon, France. She is Associate Professor in the department of Biometry and Evolutionary Biology of the University of Lyon. She has over 30 years of academic and consulting experience in statistics and multivariate analysis. Her research interest is mainly focused on the methodology of multivariate analyses. She co-authored the ade4 package R.

Aurélie Siberchicot is statistical and computer engineer in the Biometry and Evolutionary Biology Department of the University of Lyon. She develops, manages and maintains several R packages, resulting from collaborations within the scope of ecology, genomics, epidemiology or eco-toxicology. She is an active member of the R community, locally and nationally.

Thibaut Jombart is an Associate Professor in outbreak response analytics at the London School of Hygiene and Tropical Medicine, a Lecturer in genetic analysis at Imperial College London, and the founder of the R Epidemics Consortium. His research focuses on the development of evidence synthesis tools for understanding infectious disease dynamics, with a specific focus on emergency outbreak response and humanitarian crises.

Sandrine Pavoine holds a PhD in statistical ecology (2005) from the University of Lyon and a Habilitation Thesis (2014) from Paris-Sud University in France. Since 2006, she has been Associate Professor at the French National Museum of Natural History in Paris. She develops mathematical approaches that help to analyze biodiversity patterns in space and time. She studies the processes that generate patterns in species, functional and phylogenetic diversity and is also interested in human impacts on biodiversity from local to global scales. She has been awarded by several national prizes and is member of the AcademiaNet portal to Outstanding Female Academics.

Bibliographic information

  • Book Title Multivariate Analysis of Ecological Data with ade4
  • Authors Jean Thioulouse
    Stéphane Dray
    Anne-Béatrice Dufour
    Aurélie Siberchicot
    Thibaut Jombart
    Sandrine Pavoine
  • DOI https://doi.org/10.1007/978-1-4939-8850-1
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2018
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Hardcover ISBN 978-1-4939-8848-8
  • Softcover ISBN 978-1-4939-9402-1
  • eBook ISBN 978-1-4939-8850-1
  • Edition Number 1
  • Number of Pages XI, 329
  • Number of Illustrations 53 b/w illustrations, 113 illustrations in colour
  • Topics Statistics for Life Sciences, Medicine, Health Sciences
  • Buy this book on publisher's site
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