Multivariate Analysis of Ecological Data with ade4 - Grand Format

Edition en anglais

Jean Thioulouse

,

Stéphane Dray

,

Anne-Béatrice Dufour

,

Aurélie Siberchicot

Collectif

Note moyenne 
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical... Lire la suite
60,98 € Neuf
Expédié sous 6 à 12 jours
Livré chez vous entre le 10 mai et le 16 mai
En librairie

Résumé

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.

Caractéristiques

  • Date de parution
    10/12/2019
  • Editeur
  • ISBN
    978-1-4939-9402-1
  • EAN
    9781493994021
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    329 pages
  • Poids
    0.52 Kg
  • Dimensions
    15,5 cm × 23,5 cm × 2,0 cm

Avis libraires et clients

Avis audio

Écoutez ce qu'en disent nos libraires !

Des mêmes auteurs

Derniers produits consultés

60,98 €