Distance-Sampling Analyses for Density and Abundance Estimation

Distance-sampling is a popular method for estimating density and abundance of organisms in ecology. Rdistance contains routines that assist with analysis of distance-sampling data collected on point or line transects. Distance models are specified using regression-like formula (similar to lm, glm, etc.). Abundance routines perform automated bootstrapping and automated detection-function selection. Overall (study area) and site-level (transect or point) abundance estimates are available. A large suite of classical, parametric detection functions are included along with some uncommon parametric functions (e.g., Gamma, negative exponential) and non-parametric smoothed distance functions. Custom (user-defined) detection functions are easily implemented (see vignette). The help files and vignettes have been vetted by multiple authors and tested in workshop settings.


Reference manual

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2.1.3 by Trent McDonald, a month ago


Report a bug at https://github.com/tmcd82070/Rdistance/issues

Browse source code at https://github.com/cran/Rdistance

Authors: Trent 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)

Documentation:   PDF Manual  

GNU General Public License license

Imports graphics, stats, utils

Suggests knitr, rmarkdown

See at CRAN