Distance-package {Distance} | R Documentation |

## 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 dave@ninepointeightone.net

### 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.
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.

[Package

*Distance* version 1.0.3

Index]