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Distance: analysis of distance sampling data

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Distance is a simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided.

Using Distance

Distance R package preferred citation

  • Miller, D. L., Rexstad, E., Thomas, L., Marshall, L., & Laake, J. L. (2019). Distance Sampling in R. Journal of Statistical Software, 89(1), 1–28. DOI: 10.18637/jss.v089.i01

Consult the Articles for case studies of distance sampling analyses.

Getting Distance

The easiest way to ensure you have the latest version of Distance, is to install devtools:

{r} install.packages("devtools")

then install Distance from Github:

{r} library(devtools) install_github("DistanceDevelopment/Distance")