Spatial Capture-recapture
β Scribed by J. Andrew Royle, Richard B. Chandler, Rahel Sollmann and Beth Gardner (Auth.)
- Publisher
- Academic Press
- Year
- 2014
- Tongue
- English
- Leaves
- 568
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 anΒ 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
β¦ Table of Contents
Content:
Spatial Capture-Recapture, Page i
Spatial Capture-Recapture, Page iii
Copyright, Page iv
Foreword, Pages xvii-xxi
Preface, Pages xxiii-xxviii
Acknowledgments, Page xxix
Chapter 1 - Introduction, Pages 3-19
Chapter 2 - Statistical Models and SCR, Pages 21-46
Chapter 3 - GLMs and Bayesian Analysis, Pages 47-85
Chapter 4 - Closed Population Models, Pages 87-121
Chapter 5 - Fully Spatial Capture-Recapture Models, Pages 125-170
Chapter 6 - Likelihood Analysis of Spatial Capture-Recapture Models, Pages 171-196
Chapter 7 - Modeling Variation in Encounter Probability, Pages 197-218
Chapter 8 - Model Selection and Assessment, Pages 219-243
Chapter 9 - Alternative Observation Models, Pages 245-275
Chapter 10 - Sampling Design, Pages 277-303
Chapter 11 - Modeling Spatial Variation in Density, Pages 307-327
Chapter 12 - Modeling Landscape Connectivity, Pages 329-347
Chapter 13 - Integrating Resource Selection with Spatial Capture-Recapture Models, Pages 349-363
Chapter 14 - Stratified Populations: Multi-Session and Multi-Site Data, Pages 365-379
Chapter 15 - Models for Search-Encounter Data, Pages 381-399
Chapter 16 - Open Population Models, Pages 401-430
Chapter 17 - Developing Markov Chain Monte Carlo Samplers, Pages 433-471
Chapter 18 - Unmarked Populations, Pages 473-495
Chapter 19 - Spatial Mark-Resight Models, Pages 497-526
Chapter 20 - 2012: A Spatial Capture-Recapture Odyssey, Pages 527-535
Appendix - IβUseful Software and R Packages, Pages 539-544
Bibliography, Pages 545-568
Index, Pages 569-577
π SIMILAR VOLUMES
<p>Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand