TY - JOUR AU - Miller, David L. AU - Rexstad, Eric AU - Thomas, Len AU - Marshall, Laura AU - Laake, Jeffrey L. PY - 2019/05/09 Y2 - 2024/03/29 TI - Distance Sampling in R JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 89 IS - 1 SE - Articles DO - 10.18637/jss.v089.i01 UR - https://www.jstatsoft.org/index.php/jss/article/view/v089i01 SP - 1 - 28 AB - 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. ER -