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.

• 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

Table of Contents

Chapter 1 Introduction
Chapter 2 Statistical Models and SCR
Chapter 3 GLMs and Bayesian Analysis
Chapter 4 Closed Population Models
Chapter 5 Fully Spatial Capture-Recapture Models
Chapter 6 Likelihood Analysis of Spatial Capture-Recapture Models
Chapter 7 Modeling Variation in Encounter Probability
Chapter 8 Model Selection and Assessment
Chapter 9 Alternative Observation Models
Chapter 10 Sampling Design
Chapter 11 Modeling Spatial Variation in Density
Chapter 12 Modeling Landscape Connectivity
Chapter 13 Integrating Resource Selection with Spatial Capture-Recapture Models
Chapter 14 Stratified Populations: Multi-Session and Multi-Site Data
Chapter 15 Models for Search-Encounter Data
Chapter 16 Open Population Models
Chapter 17 Developing Markov Chain Monte Carlo Samplers
Chapter 18 Unmarked Populations
Chapter 19 Spatial Mark-Resight Models
Chapter 20 2012: A Spatial Capture-Recapture Odyssey