(Hardback)

Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful statistical tools for making sense of ecological processes. This work introduces them to these methods in modeling and computation. It also describes how complexity can motivate a shift to Bayesian methods.

(Paperback, Lab Manual)

Introduces ecologists to modern methods in modeling and computation. This book covers both classical statistical approaches and computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. It introduces readers to the practical work of data modeling and computation in the language R.