Numerical Ecology with R
Description
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.
Reviews / Votes
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)
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Persons
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.
Content
Introduction.- Exploratory data analysis.- Association measures and matrices.- Cluster analysis.- Unconstrained ordination.- Canonical ordination.- Spatial analysis of ecological data.