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Numerical Ecology with R (Use R)

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Numerical Ecology with R (Use R) Cover

 

Synopses & Reviews

Publisher Comments:

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

Synopsis:

This much anticipated volume maps the connections between numerical ecology and its implementation in the 'R' language. Beginning with concise theoretical overviews, the authors go on to explore the methodology using applied and extensively annotated examples.

Synopsis:

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

About the Author

The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.

Table of Contents

Introduction.- Exploratory data analysis.- Association measures and matrices.- Cluster analysis.- Unconstrained ordination.- Canonical ordination.- Spatial analysis of ecological data.

Product Details

ISBN:
9781441979759
Author:
Borcard, Daniel
Publisher:
Springer
Author:
Legendre, Pierre
Author:
Gillet, Francois
Location:
New York, NY
Subject:
Biostatistics
Subject:
R scripts
Subject:
numerical ecology
Subject:
practicals
Subject:
Statistics for Life Sciences, Medicine, Health Sciences
Subject:
Environmental Monitoring/Analysis
Subject:
Theoretical Ecology/Statistics
Subject:
Forestry.
Subject:
Epidemiology
Subject:
Health and Medicine-Medical Specialties
Subject:
Statistics for Life Scie
Subject:
nces, Medicine, Health Sciences
Subject:
Statistics
Subject:
The Arts
Subject:
mathematics and statistics
Subject:
Statistical methods
Subject:
Ecology
Subject:
Forests and forestry
Copyright:
Edition Description:
2011
Series:
Use R
Publication Date:
20110114
Binding:
TRADE PAPER
Language:
English
Pages:
312
Dimensions:
235 x 155 mm 1000 gr

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Numerical Ecology with R (Use R) New Trade Paper
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Product details 312 pages Springer - English 9781441979759 Reviews:
"Synopsis" by , This much anticipated volume maps the connections between numerical ecology and its implementation in the 'R' language. Beginning with concise theoretical overviews, the authors go on to explore the methodology using applied and extensively annotated examples.
"Synopsis" by , 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
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