文章基本信息

标题：Distance Sampling in R
本地全文：下载
作者：David L. Miller ; Eric Rexstad ; Len Thomas 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2019
卷号：89
期号：1
页码：1-28
DOI：10.18637/jss.v089.i01
出版社：University of California, Los Angeles
摘要：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.
关键词：distance sampling; abundance estimation; line transect; point transect; detection function; Horvitz-Thompson; R; distance
其他关键词：distance sampling;abundance estimation;line transect;point transecs;detection function;Horvitz-Thompson;R;distance