Royle, J: Spatial Capture-Recapture

Dr Royle is a Senior Scientist and 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 our new 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 comprehensive reference on revolutionary new methods in ecology.

Preface Acknowledgments I. Background and Concepts      1. Introduction      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 V. Appendices      WinBUGS      OpenBUGS      JAGS      R Bibliography