Distance is a simple way to fit detection functions and estimate abundance using distance sampling methodology.
Distance is the package
mrds, for more advanced analyses (such as those involving double observer surveys) one may find it necessary to use
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.
David L. Miller <firstname.lastname@example.org>
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. https://doi.org/10.18637/jss.v089.i01.
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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