Description Details Author(s) References

`Distance`

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

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.

David L. Miller <[email protected]>

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.

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