Spatial Capture-Recapture

by J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, Beth Gardner

Overview

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

Product Details

ISBN-13:	9780124071520
Publisher:	Elsevier Science & Technology Books
Publication date:	08/27/2013
Sold by:	Barnes & Noble
Format:	eBook
Pages:	612
File size:	14 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

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

What People are Saying About This

From the Publisher

Spatial Capture-Recapture provides a revolutionary extension of traditional capture-recapture methods for studying animal populations using data from live trapping, camera trapping, DNA sampling, acoustic sampling, and related field methods.

Editorial Reviews

"...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

From the Publisher