Introduction

The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively.

Features

The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models.

Intended Audience

The book is aimed at graduate students and researchers who are interested in using and further developing these models.