LTExercise

LTExercise_units

Simulated line transect survey. Twelve transects, detection function is
half-normal. True object density is 79.8 animals per km^2.

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://examples.distancesampling.org/> for example analyses.

Laura Marshall

Distance

Distance Sampling Detection Function and Abundance Estimation

LTExercise function

A <code>data.frame</code> with 106 rows and 7 variables<ul>
<li><code>Region.Label</code> strata names (single stratum)</li>
<li><code>Area</code> size of study area (1 in this case, making abundance and density
equal)</li>
<li><code>Sample.Label</code> transect ID</li>
<li><code>Effort</code> length of transects (km)</li>
<li><code>object</code> object ID</li>
<li><code>distance</code> perpendicular distance (m)</li>
<li><code>Study.Area</code> name of study area</li>
</ul>

LTExercise: Simulated line transect survey data

Description

Arguments

Format