dsims: Distance Sampling Simulations

Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.

Package details

AuthorLaura Marshall <lhm@st-and.ac.uk>
MaintainerLaura Marshall <lhm@st-and.ac.uk>
LicenseGPL (>= 2)
Version0.2.0
URL https://github.com/DistanceDevelopment/dsims
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dsims")

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dsims documentation built on Sept. 5, 2021, 5:14 p.m.