Bayesian Analysis of Spatially Structured Population Dynamics
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.
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.
| Pm Supplier | Springer Verlag |
|---|---|
| Pm Publisher | Springer Nature |
| Pm Isbn 10 | 3031645170 |
| Pm Isbn 13 | 9783031645174 |
| Pm Publication Date | 2024-10-31 |
| Pm Width | 155 |
| Pm Author | Zhao,Qing |
| Pm Height | 24 |
| Pm Longness | 235 |
- Author: Zhao,Qing
- Page Count: 386
Bayesian Analysis of Spatially Structured Population Dynamics
- Author: Zhao,Qing
- Page Count: 386
