Description
Book SynopsisProvides a how-to manual with examples of spatial capture-recapture models based on technology and knowledge. This title provides you with an extensive step-by-step analysis of many data sets using different software implementations. It embraces Bayesian and classical inference strategies to give the reader different options to get the job done.
Trade Review"...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
Table of ContentsPrefaceAcknowledgmentsI. Background and Concepts 1. Introduction 2. Statistical Models and SCR 3. GLMs and Bayesian Analysis 4. Closed Population ModelsII. 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 DesignIII. 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 ModelsIV. 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 OdysseyV. Appendices WinBUGS OpenBUGS JAGS RBibliography
