Distance-package: Distance sampling

In Distance: Distance Sampling Detection Function and Abundance Estimation

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.

Further information on distance sampling methods and example code is available at http://distancesampling.org/R/.

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 <[email protected]>

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.

Distance documentation built on July 4, 2017, 9:29 a.m.