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David Lawrence Miller edited this page Jan 16, 2014 · 15 revisions

Distance - an R package for distance sampling analysis

Rationale

The most feature-complete distance sampling analysis package (mrds) is not very user friendly. Distance provides a simple interface to the functionality of mrds. Distance is a wrapper around mrds, so eventually it is hoped that all of the features of mrds will be incorporated.

Problems?

For advice about distance sampling analyses and survey methodology in general, try the distance sampling e-mail list. If you think you've found a bug in Distance, you can report it on github.

Other pages in this wiki

Example analysis

From the examples in Distance

 library(Distance)
# Golf tee data
data(book.tee.data)
# just take the data from observer 1
tee.data<-book.tee.data$book.tee.dataframe[book.tee.data$book.tee.dataframe$observer==1,]
# run the analysis, selecting number of adjustments by AIC
# but constraining for monotonicity
ds.model<-ds(tee.data,4,monotonicity="strict")
# usual R functions
summary(ds.model)
plot(ds.model)

Coming soon

The aim is for Distance to include most of the functionality of mrds. If there is a particular feature that you would like to see please log it as an Issue.

References

Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L., Borchers, D.L., and Thomas, L. (2001). Distance Sampling. Oxford University Press. Oxford, UK.

Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L., Borchers, D.L., and Thomas, L. (2004). Advanced Distance Sampling. Oxford University Press. Oxford, UK.

Royle, J.A., Dawson, D.K, and Bates, S. Modeling Abundance Effects in Distance Sampling (2004). Ecology 85(6) pp. 1591-1597

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