capercaillie

capercaillie_units

Data from a line transect survey of capercaillie in Monaughty Forest, Moray,
Scotland.

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

capercaillie function

A <code>data.frame</code> with 112 observations on the following 9 variables.<ul>
<li><code>Sample.Label</code> name of single transect</li>
<li><code>Effort</code> transect length (km)</li>
<li><code>distance</code> perpendicular distance (m)</li>
<li><code>object</code> object ID</li>
<li><code>size</code> only individual birds detected</li>
<li><code>detected</code> whether detected</li>
<li><code>observer</code> single observer data</li>
<li><code>Region.Label</code> stratum name</li>
<li><code>Area</code> size of Monaughty Forest (ha)</li>
</ul>

capercaillie: Capercaillie in Monaughty Forest

Description

Arguments

Format