PTExercise

PTExercise_units

Simulated point transect survey. Thirty point transects, detection function
is half-normal. True object density is 79.6 animals per hectare.

datasets

A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided. See
Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on
methods and <https://distancesampling.org/resources/vignettes.html> for example analyses.

Laura Marshall

Distance

Distance Sampling Detection Function and Abundance Estimation

David Miller

T.J. Clark-Wolf

Len Thomas

Jeff Laake

Eric Rexstad

PTExercise function

A <code>data.frame</code> with 144 rows and 7 variables<ul>
<li><code>Region.Label</code> strata names (single stratum)</li>
<li><code>Area</code> size of study area (0 in this case)</li>
<li><code>Sample.Label</code> transect ID</li>
<li><code>Effort</code> number of visits to point</li>
<li><code>object</code> object ID</li>
<li><code>distance</code> radial distance (m)</li>
<li><code>Study.Area</code> name of study area</li>
</ul>

Format

Simulated point transect survey data — PTExercise

Simulated point transect survey data

PTExercise: Simulated point transect survey data

Description

Arguments

Format