Forest Analytics with R: An Introduction
|Published by: JustGoodNews (Karma: 4302.80) on 16 November 2010 | Views: 1240|
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 book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management.
"R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of platforms ..." (Google)
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|Tags: forestry, Forest, introduced, which, Analytics, tools, statistical