Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial Capture-Recapture provides you with an extensive step-by-step analysis of many data sets using different software implementations. The authors' approach is practical – it embraces Bayesian and classical inference strategies to give the reader different options to get the job done. In addition, Spatial Capture-Recapture provides data sets, sample code and computing scripts in an R package.
I. Background and Concepts
2. Statistical Models and SCR
3. GLMs and Bayesian Analysis
4. Closed Population Models
II. Basic SCR Models
5. Fully Spatial Capture-Recapture Models
6. Likelihood Analysis of Spatial Capture-Recapture Models
7. Modeling Variation In Encounter Probability
8. Model Selection and Assessment
9. Alternative Observation Models
10. Sampling Design
III. Advanced SCR Models
11. Modeling Spatial Variation in Density
12. Modeling Landscape Connectivity
13. Integrating Resource Selection with Spatial Capture-Recapture Models
14. Stratified Populations: Multi-session and Multi-site Data
15. Models for Search-Encounter Data
16. Open Population Models
IV. Super-Advanced SCR Models
17. Developing Markov Chain Monte Carlo Samplers
18. Unmarked Populations
19. Spatial Mark-Resight Models for partially identifiable populations
20. 2012: A Spatial Capture-Recapture Odyssey
Dr J Andrew Royle is currently a Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in this book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture-Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.
" [...] a book for the DIY quantitative ecologist who wants to understand their data [...] I enjoyed it tremendously and it already had a strong influence on how I think about some of my current research projects."
– Basic and Applied Ecology
" [...] a timely and informative contribution that summarizes the history and motivation behind SCR models, [...] will be a vital addition to wildlife ecologist's book shelves for many years to come."
– The Journal of Wildlife Management, Sep 14