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 <https://distancesampling.org/>.
Version: 1.0.6 Depends: dssd (≥ 0.2.2) Imports: mrds, Distance, sf, ggplot2, purrr, dplyr, mgcv, methods, rstudioapi, gridExtra, rlang Suggests: testthat, bookdown, parallel, pbapply, knitr, lwgeom, rmarkdown Published: 2025-04-23 DOI: 10.32614/CRAN.package.dsims Author: Laura Marshall [aut, cre], Thomas Len [ctb] Maintainer: Laura Marshall <lhm at st-and.ac.uk> BugReports: https://github.com/DistanceDevelopment/dsims/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/DistanceDevelopment/dsims NeedsCompilation: no Language: en-GB Materials: README NEWS CRAN checks: dsims results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dsims to link to this page.
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