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Forest Analytics with R: An Introduction

Format Post in Statstics BY Andrew P. Robinson, Jeff D. Hamann

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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 Author of this Book is Andrew P. Robinson, Jeff D. Hamann 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. Array ISBN . All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. Forest Analytics with R: An Introduction available in English. 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.

Forest Analytics with R: An Introduction

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