summary.list

This is a list of 3 simulation summaries. Data were generated using a systematic line transect 
 design and a single half normal detection function describing detectability. Each of the three
 simulation summaries corresponds to a different analysis truncation distance, to test if this
 affects the accuracy and precision of the estimates of abundance / density.

datasets

Performs distance sampling simulations.It repeatedly generates
instances of a user defined population within a given survey region, generates
realisations of a survey design (currently these must be generated using
Distance software in advance <http://distancesampling.org/>) and simulates
the detection process. The data are then analysed so that the results can
be compared for accuracy and precision across all replications. This will
allow users to select survey designs which will give them the best accuracy
and precision given their expectations about population distribution. Any
uncertainty in population distribution or population parameters can be
included by running the different survey designs for a number of different
population descriptions. An example simulation can be found in the help file for
make.simulation.

Laura Marshall

DSsim

Distance Sampling Simulations

summary.list function

The format is: List of 5<dl class="dl-horizontal">
 <dt><code>t200</code></dt><dd>a simulation summary (truncation = 200)</dd>
 <dt><code>t400</code></dt><dd>a simulation summary (truncation = 400)</dd>
 <dt><code>t600</code></dt><dd>a simulation summary (truncation = 600)</dd>
 </dl>

Format

Truncation Simulation Summaries — summary.list

The format is: List of 5<dl class='dl-horizontal'>
 <dt><code>t200</code></dt><dd>a simulation summary (truncation = 200)</dd>
 <dt><code>t400</code></dt><dd>a simulation summary (truncation = 400)</dd>
 <dt><code>t600</code></dt><dd>a simulation summary (truncation = 600)</dd>
 </dl>

summary.list: Truncation Simulation Summaries

Description

Usage

Arguments

Format

Examples