Ecological Models and Data in R

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods tailored specifically for ecology. Designed to guide both graduate students and researchers, this book provides detailed, step-by-step instructions on how to apply advanced techniques such as maximum likelihood, information-theoretic, and Bayesian methods to analyze ecological data using the programming language R.

Drawing on extensive teaching experience, Benjamin Bolker demonstrates how to select appropriate models, construct statistical frameworks, estimate parameters and confidence limits, and interpret results effectively. The book also explores the underlying philosophies of statistical modeling, along with essential mathematical functions and probability distributions. Importantly, it requires no prior programming background—only basic calculus and statistics are necessary.

This resource offers a practical, beginner-friendly approach to modern statistical techniques in ecology. It includes clear instructions for fitting models to messy, real-world data and provides a balanced view of different statistical approaches. The coverage spans a wide range of techniques, from simple distribution fitting to complex state-space modeling, making it suitable for various levels of expertise.

In addition to modeling, the book covers data manipulation and graphical display methods, enhancing the reader’s ability to analyze and visualize ecological data effectively. A companion website accompanies the book, offering data sets and R code for all examples, facilitating hands-on learning and Princeton University Press