Numerical Ecology with R
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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Verlag:Springer New York
- Springer 106,99 €
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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)
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
07.01.2011
Verlag
Springer New YorkSeitenzahl
306 (Printausgabe)
Dateigröße
12057 KB
Sprache
Englisch
EAN
9781441979766
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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