Spatial Capture-Recapture, 1st Edition

  • Published By:
  • ISBN-10: 012407152X
  • ISBN-13: 9780124071520
  • DDC: 591.566
  • Grade Level Range: College Freshman - College Senior
  • 612 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Background and Concepts.
2: Introduction.
3: Statistical Models and SCR.
4: Glms and Bayesian Analysis.
5: Closed Population Models.
6: Basic SCR Models.
7: Fully Spatial Capture-Recapture Models.
8: Likelihood Analysis of Spatial Capture-Recapture Models.
9: Modeling Variation in Encounter Probability.
10: Model Selection and Assessment.
11: Alternative Observation Models.
12: Sampling Design.
13: Advanced SCR Models.
14: Modeling Spatial Variation in Density.
15: Modeling Landscape Connectivity.
16: Integrating Resource Selection with Spatial Capture-Recapture Models.
17: Stratified Populations: Multi-Session and Multi-Site Data.
18: Models for Search-Encounter Data.
19: Open Population Models.
20: Super-Advanced SCR Models.
21: Developing Markov Chain Monte Carlo Samplers.
22: Unmarked Populations.
23: Spatial Mark-Resight Models.
24: 2012: A Spatial Capture-Recapture Odyssey.
Useful Software and R Packages.