A hierarchical model for spatial capture-recapture data: Comment

Ecology

Volumn 92, Issue 2, 2011, Pages 526-528

  Marques, Tiago A ^a,b   Thoma, Len ^a   Royle, J Andrew ^c  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

^b UNIVERSITY OF LISBON   (Portugal)

^c PATUXENT WILDLIFE RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER SIMULATION; ECOSYSTEM; METHODOLOGY; MONTE CARLO METHOD; NOTE; POPULATION DYNAMICS; RESEARCH;

ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; ECOSYSTEM; MODELS, BIOLOGICAL; MONTE CARLO METHOD; POPULATION DYNAMICS; RESEARCH;

EID: 79955538167     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/10-1440.1     Document Type: Note

References (4)

1. Borchers, D., and M. Efford. 2008. Spatially explicit maximum likelihood methods for capture-recapture studies. Biometrics 64:377-385. (Pubitemid 351691934)
2. R Development Core Team. 2009. R: a language and environment for statistical computing. R Project for Statistical Computing, Vienna, Austria. (www.r-project.org)
3. Royle, J. A., K. U. Karanth, A. M. Gopalaswamy, and N. S. Kumar. 2009. Bayesian inference in camera trapping studies for a class of spatial capture-recapture models. Ecology 90: 3233-3244.
4. Royle, J. A., and K. V. Young. 2008. A hierarchical model for spatial capture-recapture data. Ecology 89:2281-2289.