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Afficher les exemplaires de cette édition ISBNThe text is addressed to readers who haven′t used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book′s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis.
Key Features:
How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology.
′With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do. Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK
Companion Website
www.wiley.com/go/quantitative—ecologist
For those looking through R books for something a bit more technical, this book will be an essential accomplice to mastering R. (British Ecological Society, 1 April 2013)
The book is written in a style that is easy to read and for which one quickly forgets that the examples are essentially mathematical in nature. If you are an ecologist who has shied away from quantitative ecology in the past then this may be the text to convince you that there is much to be learnt from quantitative ecology. I thoroughly recommend this book and trust that you enjoy reading it as much as I did. (International Statistical Review, 2012)
"After a course of one or two semesters using this textbook, he says, students should have the absolute minimum of knowledge about quantitative research that ecologists need, but can provide a foundation for students who want to move further in that direction." (Book News, 1 August 2011)
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