Distance Sampling in R.
Average rating
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Date
2019Author
Miller, David L.
Rexstad, Eric
Thomas, Len
Marshall, Laura
Laake, Jeffrey L.
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Show full item recordAbstract
Estimating the abundance and spatial distribution of animal and plant populations is
essential for conservation and management. We introduce the R package Distance that
implements distance sampling methods to estimate abundance. We describe how users
can obtain estimates of abundance (and density) using the package as well as documenting
the links it provides with other more specialized R packages. We also demonstrate how
Distance provides a migration pathway from previous software, thereby allowing us to
deliver cutting-edge methods to the users more quickly......
Journal
Journal of Statistical SoftwareVolume
89Issue
1Page Range
28pp.Document Language
enSustainable Development Goals (SDG)
14.aMaturity Level
MatureDOI Original
https://doi.org/10.18637/jss.v089.i01Citation
Miller, D. L., Rexstad, E., Thomas, L., Marshall, L. and Laake, J. L. (2019) Distance Sampling in R. Journal of Statistical Software, 89(1), 28pp. DOI: https://doi.org/10.18637/jss.v089.i0Collections
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