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Forest Analytics with R: An Introduction
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Forest Analytics with R ([Ebook]) : An Introduction / by Andrew P. Robinson, Jeff D. Hamann.
Author
Robinson, Andrew P.
Added Personal Name
Hamann, Jeff D.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : Springer , 2011.
Physical Details
XIV, 354 pages : online resource.
Series
Use R
ISBN
9781441977625
Summary Note
Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics. Andrew Robinson has been associate professor of forest mensuration and forest biometrics at the University of Idaho, and is currently senior lecturer in applied statistics at the University of Melbourne. He received his PhD in forestry from the University of Minnesota. Robinson is author of the popular and freely-available "icebreakeR" document. Jeff Hamann has been a software developer, forester, and financial analyst. He is currently a consultant specializing in forestry, operations research, and geographic information sciences. He received his PhD in forestry from Oregon State University. Both authors have presented numerous R workshops to forestry professionals and scientists, and others.:
Contents note
Introduction -- Forest data management -- Data analysis for common inventory methods -- Imputation and Interpolation -- Fitting dimensional distributions -- Linear and non-linear models -- Fitting linear hierarchical models -- Simulations -- Forest estate planning and optimization.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-1-4419-7762-5
Links to Related Works
Subject References:
Environmental Sciences
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Forestry
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Forestry Management
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Forests and forestry
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Math. Appl. in Environmental Science
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Statistics
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Statistics for Life Sciences, Medicine, Health Sciences
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Authors:
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Hamann, Jeff D.
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Robinson, Andrew P.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Use R
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Classification:
519.5
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519.5 (DDC 23)
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