Package: Rdistance 4.0.3

Rdistance: Density and Abundance from Distance-Sampling Surveys

Distance-sampling (<doi:10.1007/978-3-319-19219-2>) estimates density and abundance of survey targets (e.g., animals) when detection probability declines with 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. Distance-sampling includes line-transect studies that measure observation distances as the closest approach of the sample route (transect) to the target (i.e., perpendicular off-transect distance), and point-transect studies that measure observation distances from stationary observers to the target (i.e., radial distance). The routines included here fit smooth (parametric) curves to histograms of observation distances and use those functions to compute effective sampling distances, density of targets in the surveyed area, and abundance of targets in a surrounding study area. Curve shapes include the half-normal, hazard rate, and negative exponential functions. Physical measurement units are required and used throughout to ensure density is reported correctly. The help files are extensive and have been vetted by multiple authors.

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]