Distance-package: Distance sampling

In DistanceDevelopment/Distance: Distance Sampling Detection Function and Abundance Estimation

Distance sampling

Description

Distance is a simple way to fit detection functions and estimate abundance using distance sampling methodology.

Details

Underlying Distance is the package mrds, for more advanced analyses (such as those involving double observer surveys) one may find it necessary to use mrds.

Examples of distance sampling analyses are available at http://examples.distancesampling.org/.

For help with distance sampling and this package, there is a Google Group https://groups.google.com/forum/#!forum/distance-sampling.

Author(s)

David L. Miller [e-mail]

References

Key References:

Miller D.L., E. Rexstad, L. Thomas, L. Marshall and J.L. Laake. 2019. Distance Sampling in R. Journal of Statistical Software, 89(1), 1-28. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v089.i01")}

Background References:

Laake, J.L. and D.L. Borchers. 2004. Methods for incomplete detection at distance zero. In: Advanced Distance Sampling, eds. S.T. Buckland, D.R.Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers, and L. Thomas. Oxford University Press.

Marques, F.F.C. and S.T. Buckland. 2004. Covariate models for the detection function. In: Advanced Distance Sampling, eds. S.T. Buckland, D.R.Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers, and L. Thomas. Oxford University Press.

DistanceDevelopment/Distance documentation built on Jan. 31, 2024, 4:11 a.m.