Population.Description-class

Class <code>"Population.Description"</code> is an S4 class containing a
description of the population. It provides methods to generate an
example population.

classes

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

Population.Description-class function

<dl class="dl-horizontal">
<dt><code>N</code></dt><dd>Object of class <code>"numeric"</code>; number of individuals
in the population (optional).</dd></dl><dt><code>density</code></dt><dd>Object of class <code>"Density"</code>; describes the
population density</dd><dt><code>region.name</code></dt><dd>Object of class <code>"character"</code>; name of
the region in which the population exists.</dd><dt><code>strata.names</code></dt><dd>Character vector giving the strata names for the study region.</dd><dt><code>covariates</code></dt><dd>Named list with one named entry per individual level covariate.
Cluster sizes can be defined here. Each list entry will either be a data.frame 
containing 2 columns, the first the level (level) and the second the probability</dd><dt><code>size</code></dt><dd>logical value indicating whether the population occurs in 
clusters.
(prob). The cluster size entry in the list must be named 'size'.</dd><dt><code>gen.by.N</code></dt><dd>Object of class <code>"logical"</code>; If <code>TRUE</code>
N is fixed otherwise it is generated from a Poisson distribution.</dd><dt><code>D.dist</code></dt><dd>Object of class <code>character</code>; Describes the
density distribution (currently not implemented).</dd>

Slots

<dl class="dl-horizontal">
 <dt><code>get.N</code></dt><dd><code>signature=(object = "Population.Description")</code>:
 returns the value of <code>N</code></dd>
 <dt><code>generate.population</code></dt><dd><code>signature=(object = "Population.Description")</code>: generates a single realisation of the population.</dd>
</dl>

Population.Description-class: Class "Population.Description"

Description

Arguments

Slots

Methods

See Also