
Environmental and Ecological Statistics with R
Song S. Qian(Author)
Chapman & Hall/CRC (Publisher)
Published on 19. August 2009
440 pages
978-1-4200-6208-3 (ISBN)
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for PDF without DRM
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Description
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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R connects applied statistics to the environmental and ecological fields. It follows the general approach to solving a statistical modeling problem, covering model specification, parameter estimation, and model evaluation. The author uses many exa
Reviews / Votes
My favorite feature of this book is the large number of datasets (available on Qian's web page) ... Overall, I liked the book. I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. ... it does contain many interesting and intriguing examples, and good examples of R code. So I can and do recommend it as a helpful resource ...-Jane L. Harvill, The American Statistician, November 2011
Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. ... the text is well formatted with liberal use of illustrative portions of R code ... It is clear that Qian has taken great care in developing this book and has succeeded in meeting his stated purpose. The book reflects Qian's insights into teaching environmental and ecological modeling developed over many years in applied statistics and as an educator in applied sciences. ...
-Biometrics, June 2011
This book gives a data-oriented introduction to statistical modeling of environmental and ecological phenomena. It is a beautiful scientific guideline for a computer-based model building and evaluation process. ... This introductory book gives a diversified overview of modern applied statistics while always following an inductive, data-based approach. Numerous data sets and R scripts, all available online, help to understand even the subtle differences between various models. Here, the reader profits from the obvious practical experience of the author. Meaningful graphics and R code/output embedded in the text support the conclusions drawn and facilitate the application to own data sets. ... Students and researchers of environmental sciences with basic knowledge in statistics will find this book valuable as both a work of reference and an introductory guide to statistical modeling with R.
-Sebastian Engelke and Martin Schlather, Biometrical Journal, 2011 My favorite feature of this book is the large number of datasets (available on Qian's web page) ... Overall, I liked the book. I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. ... it does contain many interesting and intriguing examples, and good examples of R code. So I can and do recommend it as a helpful resource ...
-Jane L. Harvill, The American Statistician, November 2011
Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. ... the text is well formatted with liberal use of illustrative portions of R code ... It is clear that Qian has taken great care in developing this book and has succeeded in meeting his stated purpose. The book reflects Qian's insights into teaching environmental and ecological modeling developed over many years in applied statistics and as an educator in applied sciences. ...
-Biometrics, June 2011
his book gives a data-oriented introduction to statistical modeling of environmental and ecological phenomena. It is a beautiful scientific guideline for a computer-based model building and evaluation process. ... This introductory book gives a diversified overview of modern applied statistics while always following an inductive, data-based approach. Numerous data sets and R scripts, all available online, help to understand even the subtle differences between various models. Here, the reader profits from the obvious practical experience of the author. Meaningful graphics and R code/output embedded in the text support the conclusions drawn and facilitate the application to own data sets. ... Students and researchers of environmental sciences with basic knowledge in statistics will find this book valuable as both a work of reference and an introductory guide to statistical modeling with R.
-Sebastian Engelke and Martin Schlather, Biometrical Journal, 2011
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Graduate students, researchers, and practitioners in environmental science and ecology.
Illustrations
165 s/w Abbildungen, 11 s/w Tabellen
165 b/w images and 11 tables
File size
7,79 MB
ISBN-13
978-1-4200-6208-3 (9781420062083)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Song S. Qian
Environmental and Ecological Statistics with R
Book
08/2009
1st Edition
Chapman & Hall/CRC
€99.22
Article exhausted; check for reprint
Person
Song S. Qian is an associate research professor in the Nicholas School of the Environment at Duke University. Dr. Qian's research consists of adaptive management strategies for watershed TMDL, GIS-assisted watershed modeling, water quality assessments, modeling marine mammal habitats, environmental sampling design, and more.
Content
Basic Concepts. Statistical Modeling. Advanced Statistical Modeling. References. Index.
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