Multivariate Analysis of Ecological Data with ade4

Multivariate Analysis of Ecological Data with ade4
Author :
Publisher : Springer
Total Pages : 334
Release :
ISBN-10 : 9781493988501
ISBN-13 : 1493988506
Rating : 4/5 (01 Downloads)

Book Synopsis Multivariate Analysis of Ecological Data with ade4 by : Jean Thioulouse

Download or read book Multivariate Analysis of Ecological Data with ade4 written by Jean Thioulouse and published by Springer. This book was released on 2018-11-08 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Multivariate Analysis of Ecological Data with ade4 Related Books

Multivariate Analysis of Ecological Data with ade4
Language: en
Pages: 334
Authors: Jean Thioulouse
Categories: Medical
Type: BOOK - Published: 2018-11-08 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical c
Multivariate Analysis of Ecological Data using CANOCO 5
Language: en
Pages: 375
Authors: Petr Ć milauer
Categories: Mathematics
Type: BOOK - Published: 2014-04-17 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.
Multivariate Statistical Methods
Language: en
Pages: 294
Authors: Bryan F. J. Manly
Categories: Mathematics
Type: BOOK - Published: 2024-10-04 - Publisher: CRC Press

DOWNLOAD EBOOK

Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of math
An Introduction to Applied Multivariate Analysis with R
Language: en
Pages: 284
Authors: Brian Everitt
Categories: Mathematics
Type: BOOK - Published: 2011-04-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken
Crime Mapping and Spatial Data Analysis using R
Language: en
Pages: 523
Authors: Juan Medina Ariza
Categories: Mathematics
Type: BOOK - Published: 2023-04-27 - Publisher: CRC Press

DOWNLOAD EBOOK

Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and cri