dsm implements spatial models for distance sampling data. Models for
detectability can be fitted using packages mrds or Distance. dsm fits
generalized additive models to spatially-referenced data. See Miller et al
(2013) for an introduction.
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.
A example analyses are available at http://examples.distancesampling.org.
Hedley, S. and S. T. Buckland. 2004. Spatial models for line transect sampling. JABES 9:181-199.
Miller, D. L., Burt, M. L., Rexstad, E. A., Thomas, L. (2013), Spatial models for distance sampling data: recent developments and future directions. Methods in Ecology and Evolution, 4: 1001-1010. doi: 10.1111/2041-210X.12105 (Open Access)
Wood, S.N. 2006. Generalized Additive Models: An Introduction with R. CRC/Chapman & Hall.