Spatial Capture-Recapture
Published on 27. August 2013
612 pages
978-0-12-407152-0 (ISBN)
Description
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.
- Comprehensive reference on revolutionary new methods in ecology makes this the first and only book on the topic
- Every methodological element has a detailed worked example with a code template, allowing you to learn by example
- Includes an R package that contains all computer code and data sets on companion website
More details
Other editions
Additional editions
J. Andrew Royle | Richard B. Chandler | Rahel Sollmann
Spatial Capture-Recapture
Book
09/2013
Academic Press
€118.50
Shipment within 15-20 days
Persons
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.
Content
PrefaceAcknowledgmentsI. 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
