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Numerical Ecology with R

Springer Science+Business Media, LLC 2011 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 9781441979766 ;ISBN: 144197976X ;ISBN: 1441979751 ;ISBN: 9781441979759 ;EISBN: 9781441979766 ;EISBN: 144197976X ;DOI: 10.1007/978-1-4419-7976-6 ;OCLC: 704399395

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  • Title:
    Numerical Ecology with R
  • Author: Borcard, Daniel ; Gillet, Francois ; Legendre, Pierre
  • Gillet, Francois ; Legendre, Pierre
  • Subjects: Biodiversity and Ecology ; Biostatistics ; Ecology ; Environmental Sciences ; Epidemiology ; Forestry ; Mathematical models ; Mathematics and Statistics ; Medical sciences ; Monitoring/Environmental Analysis ; R (Computer program language) ; Statistical methods ; Statistics ; Statistics for Life Sciences, Medicine, Health Sciences ; Theoretical Ecology/Statistics
  • Description: 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://www.bio.umontreal.ca/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.
  • Publisher: New York, NY: Springer Nature
  • Creation Date: 2011
  • Format: 314
  • Language: English;German
  • Identifier: ISBN: 9781441979766
    ISBN: 144197976X
    ISBN: 1441979751
    ISBN: 9781441979759
    EISBN: 9781441979766
    EISBN: 144197976X
    DOI: 10.1007/978-1-4419-7976-6
    OCLC: 704399395
  • Source: Alma/SFX Local Collection
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