Forest Analytics with R
An Introduction
Published on 1. December 2010
Book
Paperback/Softback
XIV, 354 pages
978-1-4419-7761-8 (ISBN)
Description
This book presents techniques that are relevant to solving operational foresty problems including sampling, spatial analysis, inventory analysis, estimation of future forest conditions and basic methods for common optimization problems. The goal is to provide forest biometrics scientists and students with a demonstration of how R can be used efficiently to solve common forest biometrical problems.
Reviews / Votes
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)
More details
Series
Edition
2011 ed.
Language
English
Place of publication
New York
United States
Target group
Primary & secondary/elementary & high school
Graduate
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
XIV, 354 p.
Dimensions
Height: 237 mm
Width: 159 mm
Thickness: 22 mm
Weight
517 gr
ISBN-13
978-1-4419-7761-8 (9781441977618)
DOI
10.1007/978-1-4419-7762-5
Schweitzer Classification
Other editions
Additional editions
E-Book
11/2010
1st Edition
Springer
€80.24
Available for download
Persons
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.
Content
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.