Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: David L. Miller, Eric Rexstad, Len Thomas, Laura Marshall, Jeffrey L. Laake
Title: Distance Sampling in R
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.

Page views:: 916. Submitted: 2016-04-05. Published: 2019-05-09.
Paper: Distance Sampling in R     Download PDF (Downloads: 372)
Supplements:
Distance_0.9.8.tar.gz: R source package Download (Downloads: 30; 52KB)
v89i01.R: R replication code Download (Downloads: 38; 10KB)

DOI: 10.18637/jss.v089.i01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.