Biometry for Forestry and Environmental Data: With Examples in R

Biometry for Forestry and Environmental Data with Examples in R is a book that covers statistical methods for forestry and environmental data, with examples in R. It includes linear, nonlinear, generalized linear, and multivariate models, as well as chapters on tree size, taper, measurement errors, and forest experiments. The book is designed for students and researchers in forestry and environmental studies, but also for statisticians and researchers in other fields.

Format: Paperback / softback
Length: 424 pages
Publication date: 29 April 2022
Publisher: Taylor & Francis Ltd

Biometry for Forestry and Environmental Data with Examples in R is a comprehensive guide that delves into statistical methods with wide applications in forestry and environmental sciences. While primarily focusing on statistical techniques, the book also encompasses material of broader interest. It offers a detailed description of the theory and applications of selected statistical methods, accompanied by illustrative examples utilizing forestry and environmental data in the R programming language. The presentation is rigorous yet accessible, making the content suitable for students and researchers with varying backgrounds in statistics.

The book covers a range of models, including linear, nonlinear, generalized linear, and multivariate models, along with their mixed-effects counterparts. Chapters dedicated to topics such as tree size, tree taper, measurement errors, and forest experiments provide valuable insights into the analysis of forestry data. Additionally, the book includes essential statistical theory covering random variables, estimation, and prediction. The emphasis is placed on the wide applicability of the linear prediction theory, which is crucial in understanding and forecasting environmental phenomena.

To enhance understanding and facilitate practical application, the book includes hands-on examples with implementations using R. These examples make it easier for non-statisticians to grasp the concepts and apply the methods to their own data. Furthermore, an extensive website, www.biombook.org, offers additional material, including supplementary code, data sets, and further resources, to support readers in their exploration of biometry for forestry and environmental data.

With its comprehensive coverage, rigorous theoretical foundations, and practical examples, Biometry for Forestry and Environmental Data with Examples in R serves as a valuable resource for students and researchers in forestry and environmental studies, as well as statisticians and researchers in other fields. It provides a solid foundation for understanding and applying statistical methods in the analysis of complex forestry and environmental data.

Weight: 784g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367508456