secrRFS

Spatially Explicit Capture-Recapture Random Field Simulator

This package implements a simulation-based method for predicting overdispersion of $n$ when the distribution of animal activity centres follows a known Cox process (Moller and Waagepetersen 2004; Efford and Fletcher unpubl.).

secrRFS depends on secr. spatstat (Baddeley and Turner 2005) is required for LGCP and cluster options.

secrRFS is NOT available on CRAN.

The code here is under development. It may be installed using

devtools::install_github("MurrayEfford/secrRFS")

or

install.packages("secrRFS", repos = "https://MurrayEfford.r-universe.dev")

Please report problems as Issues on GitHub.

References

Baddeley, A. and Turner, R. (2005) spatstat: An R package for analyzing spatial point patterns. Journal of Statistical Software 12, 1--42. DOI: 10.18637/jss.v012.i06

Efford, M. G. (2025) secr: Spatially explicit capture--recapture models. R package version 5.2.1. https://github.com/MurrayEfford/secr

Efford, M. G. and Fletcher, D. (2024) The effect of spatial overdispersion on confidence intervals for population density estimated by spatially explicit capture--recapture. bioRxiv DOI: 10.1101/2024.03.12.584742

Moller, J. and Waagepetersen, R. P. (2004) Statistical inference and simulation for spatial point processes. Chapman & Hall/CRC.

Saura, S. and Martinez-Millan, J. (2000) Landscape patterns simulation with a modified random clusters method. Landscape Ecology, 15, 661--678.