Package: Rdistance 4.4.4

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).

Authors:Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut], Ryan Nielson [ctb], Ben Augustine [ctb], James Griswald [ctb], Patrick McKann [ctb], Lacey Jeroue [ctb], Hoffman Abigail [ctb], Kleinsausser Michael [ctb], Joel Reynolds [ctb], Pham Quang [ctb], Earl Becker [ctb], Aaron Christ [ctb], Brook Russelland [ctb], Stefan Emmons [ctb], Will McDonald [ctb], Reid Olson [ctb]