Bayesian Analysis of Spatially Structured Population Dynamics
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.
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Content
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.
