Spatial Capture-recapture by J. Andrew RoyleSpatial Capture-recapture by J. Andrew Royle

Spatial Capture-recapture

byJ. Andrew Royle, Richard B. Chandler, Rahel Sollmann

Paperback | October 30, 2018

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Spatial Capture-Recaptureprovides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge.Spatial Capture-Recaptureprovides 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-Recaptureprovides 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
Dr 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 devo...
Title:Spatial Capture-recaptureFormat:PaperbackDimensions:612 pages, 8.75 × 6.35 × 0.68 inPublished:October 30, 2018Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128100125

ISBN - 13:9780128100127

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Table of Contents

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