DDF.Data-class

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

DDF.Data-class function

<dl class="dl-horizontal">
<dt><code>ddf.dat</code></dt><dd>Object of class <code>"data.frame"</code>; dataframe with
all the necessary column to fit a detection function using mrds.</dd>
</dl>

DDF.Data-class: S4 Class "DDF.Data"

Description

Arguments

Slots

Details