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Forest Analytics with R: An Introduction (Use R!)

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Book Details

  • Author: Andrew P. Robinson

  • Publisher: Springer

  • ISBN: 9781441977618

  • Pages: 354

  • Binding: Paperback

  • Dimensions: 9.3 x 6.1 x 0.8 inches

  • Languages: English

  • Release Date: 01-12-2010

About The Book
Forest Analytics with R offers a practical guide to analyzing forestry data using advanced statistical tools and the R programming language. The book focuses on solving real forest management challenges and covers statistical and mathematical techniques in the context of real-world forestry problems.

The author adopts a problem-driven approach, introducing key statistical tools through practical examples, such as imputation, interpolation, and fitting probability density functions. Other important topics include regression models for tree measurements, forest growth modeling, and resource planning. The book also explores forest estate optimization and the analysis of forestry inventory data using linear programming.

Ideal for those interested in forest biometrics or applied statistics for natural resource management, the book requires only basic applied mathematics and introductory statistics knowledge. It provides a hands-on approach to learning with real datasets, making it an excellent resource for students and professionals in forestry and related fields.