Bayesian inference in camera trapping studies for a class of spatial capture-recapture models.

@article{Royle2009BayesianII,
  title={Bayesian inference in camera trapping studies for a class of spatial capture-recapture models.},
  author={J. Andrew Royle and K. Ullas Karanth and Arjun M. Gopalaswamy and Naresh S. Kumar},
  journal={Ecology},
  year={2009},
  volume={90 11},
  pages={3233-44}
}
We develop a class of models for inference about abundance or density using spatial capture-recapture data from studies based on camera trapping and related methods. The model is a hierarchical model composed of two components: a point process model describing the distribution of individuals in space (or their home range centers) and a model describing the observation of individuals in traps. We suppose that trap- and individual-specific capture probabilities are a function of distance between… CONTINUE READING
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Camera - trap study of ocelot and other secretive mammals in the northern Pantanal

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Estimating abundance from repeated presence – absence data or point counts

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  • Ecology
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