Distance sampling in R

David L. Miller*, Eric Rexstad, Len Thomas, Laura Marshall, Jeffrey L. Laake

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)
6 Downloads (Pure)


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.
Original languageEnglish
Number of pages28
JournalJournal of Statistical Software
Issue number1
Publication statusPublished - 9 May 2019


  • Distance sampling
  • Abundance estimation
  • Line transect
  • Point transect
  • Detection function
  • Horvitz-Thompson
  • R
  • Distance


Dive into the research topics of 'Distance sampling in R'. Together they form a unique fingerprint.

Cite this