Rdistance: Density and Abundance from Distance-Sampling Surveys

Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).

Package details

AuthorTrent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] (point transect methods), Ryan Nielson [ctb] (smoothed likelihood), Ben Augustine [ctb] (maximization method), James Griswald [ctb] (maximization method), Patrick McKann [ctb] (maximization method), Lacey Jeroue [ctb] (vignettes), Hoffman Abigail [ctb] (vignettes), Kleinsausser Michael [ctb] (vignettes), Joel Reynolds [ctb] (Gamma likelihood), Pham Quang [ctb] (Gamma likelihood), Earl Becker [ctb] (Gamma likelihood), Aaron Christ [ctb] (Gamma likelihood), Brook Russelland [ctb] (Gamma likelihood), Stefan Emmons [ctb] (Automated tests), Will McDonald [ctb] (Automated tests), Reid Olson [ctb] (Automated tests and bug fixes)
MaintainerTrent McDonald <trent@mcdonalddatasciences.com>
LicenseGNU General Public License
Version4.3.0
URL https://mcdonalddata.science/Rdistance.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Rdistance")

Try the Rdistance package in your browser

Any scripts or data that you put into this service are public.

Rdistance documentation built on Jan. 10, 2026, 1:07 a.m.