Books
Introduction to Forestry Data Analysis with R
This book equips students and practitioners with the skills needed to move confidently between field measurements and modern analytical workflows. As forestry, ecology, and natural resource management become increasingly data-driven, professionals must not only collect information but also organize, analyze, visualize, and defend quantitative results. Distinct from both generic programming texts and traditional mensuration references, this volume teaches R through real forestry datasets and operational examples, pairing classical forest inventory methods with transparent, step-by-step computational workflows for modern, reproducible analysis.
Introduction to Bayesian Methods in Ecology and Natural Resources
This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.