unimak

unimak_units

Simulated line transect survey. Only eight line transects, detection
function is half-normal.

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

unimak function

A <code>data.frame</code> with 60 rows and 9 variables<ul>
<li><code>Region.Label</code> strata names (single stratum)</li>
<li><code>Area</code> size of study area (mi^2)</li>
<li><code>Sample.Label</code> transect ID</li>
<li><code>Effort</code> transect length (mi)</li>
<li><code>object</code> object ID</li>
<li><code>distance</code> perpendicular distance (km)</li>
<li><code>MSTDO</code> time since medication taken by observer (min)</li>
<li><code>Hour</code> time of day of sighting (hour)</li>
<li><code>Study.Area</code> name of study area</li>
</ul>

unimak: Simulated line transect survey data with covariates

Description

Arguments

Format