Authors:
- Use of real datasets provides detailed and realistic examples of forestry data handling and analysis
- Guided by forestry problems, not by statistical tools, so all material is driven by context instead of convenience
- Combines practical, down-to-earth forestry data analysis solutions with state-of-the-art statistical functionality
Part of the book series: Use R! (USE R)
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Table of contents (9 chapters)
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Front Matter
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Introduction and Data Management
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Front Matter
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Sampling and Mapping
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Front Matter
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Allometry and Fitting Models
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Front Matter
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Simulation and Optimization
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“The material presented in this text is more than sufficient for a dedicated module of an applied statistics course … . The authors develop, and demonstrate, solutions to common forestry data handling and analysis challenges … . Whilst much of the text may be regarded as standard for the topic, the last chapter addresses an area harvest strategy which is well worth reading on its own … . The text is well written, easy to read and I recommend it to anyone interested in biometrics.” (Carl M. O’Brien, International Statistical Review, Vol. 80 (1), 2012)
Authors and Affiliations
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Dept. Mathematics and Statistics, University of Melbourne, Parkville, Australia
Andrew P. Robinson
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Forest Informatics, Inc., Corvallis Oregon, USA
Jeff D. Hamann
About the authors
Bibliographic Information
Book Title: Forest Analytics with R
Book Subtitle: An Introduction
Authors: Andrew P. Robinson, Jeff D. Hamann
Series Title: Use R!
DOI: https://doi.org/10.1007/978-1-4419-7762-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Softcover ISBN: 978-1-4419-7761-8Published: 01 December 2010
eBook ISBN: 978-1-4419-7762-5Published: 05 November 2010
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XIV, 354
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Forestry, Forestry Management, Math. Appl. in Environmental Science