Spatial Capture-Recapture

1st Edition

Print ISBN: 9780128100127
eBook ISBN: 9780124071520
Imprint: Academic Press
Published Date: 26th August 2013
Page Count: 612
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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.

Key Features

  • 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


Ecologists and biologists

Table of Contents



Themes of this book


Organization of this book


Part I: Background and Concepts

Chapter 1. Introduction


1.1 The study of populations by capture-recapture

1.2 Lions and tigers and bears, oh my: genesis of spatial capture-recapture data

1.3 Capture-recapture for modeling encounter probability

1.4 Historical context: a brief synopsis

1.5 Extension of closed population models

1.6 Ecological focus of SCR models

1.7 Summary and outlook

Chapter 2. Statistical Models and SCR


2.1 Random variables and probability distributions

2.2 Common probability distributions

2.3 Statistical inference and parameter estimation

2.4 Joint, marginal, and conditional distributions

2.5 Hierarchical models and inference

2.6 Characterization of SCR models

2.7 Summary and outlook

Chapter 3. GLMs and Bayesian Analysis


3.1 GLMs and GLMMs

3.2 Bayesian analysis

3.3 Characterizing posterior distributions by MCMC simulation

3.4 Bayesian analysis using the BUGS language

3.5 Practical Bayesian analysis and MCMC

3.6 Poisson GLMs

3.7 Poisson GLM with random effects

3.8 Binomial GLMs

3.9 Bayesian model checking and selection

3.10 Summary and outlook

Chapter 4. Closed Population Models


4.1 The simplest closed population model: model

4.2 Data augmentation

4.3 Temporally varying and behavioral effects

4.4 Models with individual heterogeneity

4.5 Individual covariate models: toward spatial capture-recapture

4.6 Distance sampling: a primitive SCR model

4.7 Summary and outlook

Part II: Basic SCR Models

Chapter 5. Fully Spatial Capture-Recapture Models



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"...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, Spatial Capture-Recapture

"...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