Spatial capture-recapture / edited by J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, Beth Gardner ; USGS Patuxent Wildlife Research Center North Carolina State University, USA.

Includes bibliographical references (pages 545-568) and index.

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.

"Space plays a vital role in virtually all ecological processes (Tilman and Kareiva, 1997; Hanski, 1999; Clobert et al., 2001). The spatial arrangement of habitat can influence movement patterns during dispersal, habitat selection, and survival. The distance between an organism and its competitors and prey can influence activity patterns and foraging behavior. Further, understanding distribution and spatial variation in abundance is necessary in the conservation and management of populations"--