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

  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},
  volume={90 11},
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
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 101 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 63 extracted citations

101 Citations

Citations per Year
Semantic Scholar estimates that this publication has 101 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-3 of 3 references

Camera - trap study of ocelot and other secretive mammals in the northern Pantanal

  • H. Gomez, G. Ayala, F. Espinoza
  • Mammalia
  • 2005

Estimating abundance from repeated presence – absence data or point counts

  • J. D. Nichols, K. U. Karanth, A. M. Gopalaswamy
  • Ecology
  • 2003

Similar Papers

Loading similar papers…