R packages
Wondering how to get started with the distance sampling R packages? We recommend Miller et al. (2019) as well as case studies for getting started with Distance analyses.
Other packages (no longer under active development)
mads
- Multi-Analysis Distance Sampling: incorporating unidentified sightings, covariate uncertainty and model uncertainty into distance sampling analyses
readdst
- read Distance for Windows data into R: import data from Distance for Windows “projects” and convert them into analyses one can run in the R package mrds.
dsmextra
- Extrapolation tools for density surface models, see (Bouchet et al., 2020)
Other resources
MCDS.exe
- Executable file for running distance sampling analyses (CDS and MCDS) in Windows environments. Can be called from the
Distance
andmrds
R packages - see the help topic “mrds::MCDS.exe” in R. (No longer recommended for use - see help topic for details.)
- Executable file for running distance sampling analyses (CDS and MCDS) in Windows environments. Can be called from the
References
Bouchet, P. J., Miller, D. L., Roberts, J. J., Mannocci, L., Harris, C. M., & Thomas, L. (2020). Dsmextra: Extrapolation assessment tools for density surface models. Methods in Ecology and Evolution, 11(11), 1464–1469. https://doi.org/10.1111/2041-210X.13469
Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (2001). Introduction to distance sampling: Estimating abundance of biological populations. Oxford University Press.
Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (2004). Advanced distance sampling. Oxford University Press.
Hedley, S. L., & Buckland, S. T. (2004). Spatial models for line transect sampling. Journal of Agricultural, Biological, and Environmental Statistics, 9(2), 181–199. https://doi.org/10.1198/1085711043578
Laake, J. L., & Borchers, D. L. (2004). Methods for incomplete detection at distance zero. In Advanced distance sampling (pp. 108–189). Oxford University Press.
Marshall, L. (2023a). dsims: Distance sampling simulations. Retrieved from https://CRAN.R-project.org/package=dsims
Marshall, L. (2023b). dssd: Distance sampling survey design. Retrieved from https://CRAN.R-project.org/package=dssd
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(11), 1001–1010. https://doi.org/10.1111/2041-210X.12105
Miller, D. L., Rexstad, E., Thomas, L., Marshall, L., & Laake, J. L. (2019). Distance sampling in R. Journal of Statistical Software, 89(1), 1–28. https://doi.org/10.18637/jss.v089.i01