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Distance sampling in R

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Miller_2019_Distance_sampling_R_JSS_CC.pdf (571.2Kb)
Date
09/05/2019
Author
Miller, David L.
Rexstad, Eric
Thomas, Len
Marshall, Laura
Laake, Jeffrey L.
Keywords
Distance sampling
Abundance estimation
Line transect
Point transect
Detection function
Horvitz-Thompson
R
Distance
QA75 Electronic computers. Computer science
QH301 Biology
DAS
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Abstract
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.
Citation
Miller , D L , Rexstad , E , Thomas , L , Marshall , L & Laake , J L 2019 , ' Distance sampling in R ' , Journal of Statistical Software , vol. 89 , no. 1 . https://doi.org/10.18637/jss.v089.i01
Publication
Journal of Statistical Software
Status
Peer reviewed
DOI
https://doi.org/10.18637/jss.v089.i01
ISSN
1548-7660
Type
Journal article
Rights
Copyright 2019 the Authors. This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17847

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