This tutorial is a guide for those taking their first steps in fitting spatially explicit capture–recapture (SECR or SCR) models with the Shiny application secrapp 1.3, an interface to the R package secr. The application runs simple SECR analyses on a University of Otago machine through your web browser. No setup is required. You can also run it on your own machine directly from GitHub.

See Appendix 1 for an introduction to SECR models with a list of key assumptions and data requirements. See the tutorial secr-tutorial.pdf if you want to use secr from the R command line.

Thanks to Greg Trounson for supporting secrapp at the University of Otago, and to Ian Durbach for suggesting various improvements.

Example data

We use the Alaskan snowshoe hare data of Burnham and Cushwa as an example. This dataset was first presented by Otis et al. (1978) and has been much used in the exploration of models for heterogeneous capture probability.