Spatial Capture-Recapture book cover

Spatial Capture-Recapture

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.


Ecologists and biologists

Hardbound, 612 Pages

Published: August 2013

Imprint: Academic Press

ISBN: 978-0-12-405939-9


  • Preface
    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


advert image