Forest Analytics with R An Introduction /

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 introduc...

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Bibliographic Details
Main Authors: Robinson, Andrew P. (Author), Hamann, Jeff D. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Use R
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.