Code for Distance sampling accounting for density gradient and animal distribution
November 5, 2024
Code to estimate animal density from line transect surveys where auxiliary data are available to model the distribution of animals near the survey line and the distribution of animals across the study area.
Citation Information
| Publication Year | 2024 |
|---|---|
| Title | Code for Distance sampling accounting for density gradient and animal distribution |
| DOI | 10.5066/P1FUDEUS |
| Authors | Duane R Diefenbach, Jacob Trowbridge, Tiago A Marques |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Cooperative Research Units Program |
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Accounting for non-random samples with distance sampling to estimate population density Accounting for non-random samples with distance sampling to estimate population density
A critical assumption of standard distance sampling is that sampling lines are located such that animals are uniformly distributed as a function of distance from the line. Failure to meet this assumption can introduce bias in the estimator.Many studies have used landscape features, such as roads or rivers, as lines, which can violate assumptions of distance sampling in two ways. First...
Authors
Duane Diefenbach, Jacob Trowbridge, Amanda Van Buskirk, Tess McConnell, Kevin Lamp, Tiago Marques, David Walters, Bret D. Wallingford, Christopher S. Rosenberry
Related
Accounting for non-random samples with distance sampling to estimate population density Accounting for non-random samples with distance sampling to estimate population density
A critical assumption of standard distance sampling is that sampling lines are located such that animals are uniformly distributed as a function of distance from the line. Failure to meet this assumption can introduce bias in the estimator.Many studies have used landscape features, such as roads or rivers, as lines, which can violate assumptions of distance sampling in two ways. First...
Authors
Duane Diefenbach, Jacob Trowbridge, Amanda Van Buskirk, Tess McConnell, Kevin Lamp, Tiago Marques, David Walters, Bret D. Wallingford, Christopher S. Rosenberry