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-drivenapproach, 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-effectsmodeling. The coverage also includes deploying and using forest growth modelswritten in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics. Use of real datasets provides detailed and realistic examples of forestry data handling and analysis Guided by forestry problems, not by statistical tools, so all material is driven by context instead of convenience Combines practical, down-to-earth forestry data analysis solutions with state-of-the-art statistical functionality INDICE: 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.
- ISBN: 978-1-4419-7761-8
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 354
- Fecha Publicación: 11/01/2011
- Nº Volúmenes: 1
- Idioma: Inglés