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Description
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. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.
Table of Contents
Chapter 1: Background.- Chapter 2: Occupancy Models.- Chapter 3: N-mixture models.- Chapter 4: Integrated population models (IPMs).- Chapter 5: Spatial capture-recapture (SCR) models.- Chapter 6: Summary and outlook.
