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Use R!

Numerical Ecology with R

Authors: Borcard, Daniel, Gillet, Francois, Legendre, Pierre

  • Practical guide to numerical ecology by leaders in the field
  • All examples include extensive commentaries
  • Provides complete data sets, functions and scripts
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  • ISBN 978-1-4419-7976-6
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  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-1-4419-7975-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
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About this book

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 spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/).

This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book.

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.

About the authors

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.

Reviews

From the reviews:

“It is aimed at people who have not used the free software R before, and covers how to install it onto your computer … . this book aims to provide a bridge between the theory and practice of numerical ecology. … provides a gentle introduction, reviewing various types of exploratory data analysis. … This will be of use by final year undergraduate project students, academics and researchers who are looking to extend their statistical repertoire.” (Bulletin of the British Ecological Society, Vol. 43 (1), March, 2012)

“The text is well written and ideal as either a course companion or for personal study. Each chapter explains clearly the objectives underlying the presentation of the material considered and each includes a final conclusion section so that the key points can be referred to subsequently. The authors’ text deserves to become a standard reference for anyone working in ecological science and more specifically, in numerical ecology.” (Carl M. O’Brien, International Statistical Review, Vol. 80 (1), 2012)

“This companion volume … shows how to use R and various packages pertinent to ecology. … this volume is an excellent contribution to the evolution of quantitative ecology and is a ‘must read.’” (Donald E. Myers, Technometrics, Vol. 54 (2), May, 2012)


Table of contents (7 chapters)

Buy this book

eBook $59.99
price for USA
  • ISBN 978-1-4419-7976-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-1-4419-7975-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Numerical Ecology with R
Authors
Series Title
Use R!
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media LLC
eBook ISBN
978-1-4419-7976-6
DOI
10.1007/978-1-4419-7976-6
Softcover ISBN
978-1-4419-7975-9
Series ISSN
2197-5736
Edition Number
1
Number of Pages
XII, 306
Topics