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.

Install the latest version of this package by entering the following in R:
install.packages("dsm")
AuthorDavid L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington, Sharon Hedley.
Date of publication2017-01-26 12:03:13
MaintainerLaura Marshall <lhm@st-andrews.ac.uk>
LicenseGPL (>= 2)
Version2.2.14
http://github.com/DistanceDevelopment/dsm

View on CRAN

Functions

block.info.per.su Man page
check.cols Man page
dsm Man page
dsm.cor Man page
dsm-data Man page
dsm-package Man page
dsm.var.gam Man page
dsm.var.movblk Man page
dsm.var.prop Man page
generate.ds.uncertainty Man page
generate.mb.sample Man page
latlong2km Man page
make.soapgrid Man page
matrixnotposdef.handler Man page
mexdolphins Man page
offsets Man page
plot.dsm Man page
plot.dsm.var Man page
predict.dsm Man page
print.dsm Man page
print.dsm.var Man page
print.summary.dsm.var Man page
rqgam.check Man page
summary.dsm Man page
summary.dsm.var Man page
trim.var Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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