dsm: Density Surface Modelling of Distance Sampling Data

Density surface modelling of line transect data. A Generalized Additive Model-based approach is used to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.

Version: 2.2.9
Depends: R (≥ 3.0), mgcv (≥ 1.7), mrds (≥ 2.1.8)
Imports: nlme, ggplot2, statmod
Suggests: Distance, tweedie
Published: 2015-07-29
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington, Sharon Hedley.
Maintainer: David Lawrence Miller <dave at ninepointeightone.net>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/DistanceDevelopment/dsm
NeedsCompilation: no
Materials: README NEWS
In views: Environmetrics
CRAN checks: dsm results


Reference manual: dsm.pdf
Package source: dsm_2.2.9.tar.gz
Windows binaries: r-devel: dsm_2.2.9.zip, r-release: dsm_2.2.9.zip, r-oldrel: dsm_2.2.9.zip
OS X Snow Leopard binaries: r-release: dsm_2.2.9.tgz, r-oldrel: dsm_2.2.5.tgz
OS X Mavericks binaries: r-release: dsm_2.2.9.tgz
Old sources: dsm archive