amakihi

amakihi_units

Also known as the Common 'Amakihi, a type of Hawaiian honeycreeper

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

amakihi function

A <code>data.frame</code> with 1487 rows and 12 variables<ul>
<li><code>Region.Label</code> strata names (seven strata)</li>
<li><code>Area</code> size of study area (set to 0)</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>Month</code> month survey conducted (not used)</li>
<li><code>OBs</code> observer ID (note capitalisation of variable name)</li>
<li><code>Sp</code> species code (COAM) for all detections</li>
<li><code>MAS</code> Time after sunrise (min)</li>
<li><code>HAS</code> Time after sunrise (hours)</li>
<li><code>Study.Area</code> name of study area</li>
</ul>

amakihi: Hawaiian amakihi point transect data

Description

Arguments

Format

References