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Numerical ecology with R

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Bibliographic Details
Main Authors: Borcard Daniel.
Corporate Authors: SpringerLink (Online service)
Group Author: Legendre Pierre, 1946-; Gillet Francʹois.
Published: Springer,
Publisher Address: New York
Publication Dates: c2011.
Literature type: Book
Language: English
Series: Use R!
Subjects:
Ecology > Statistical methods > Data processing.
R (Computer program language)
Multivariate analysis
Ecology > Statistical methods.
Ecology > Data processing.
Science.
Natural history
NATURE / Ecology
NATURE / Ecosystems & Habitats / Wilderness
SCIENCE / Environmental Science
SCIENCE / Life Sciences / Ecology
Ecology > Mathematics > Data processing.
Online Access: http://dx.doi.org/10.1007/978-1-4419-7976-6
Carrier Form: 1 online resource (xi, 306 p.): ill.
ISBN: 9781441979766 (electronic bk.)
144197976X (electronic bk.)
Index Number: Q141
CLC: Q141
Contents: Includes bibliographical references (p. 293-300) and index.
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spat.

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