simulatedifm

This dataset loads several objects:
'sim.area', 'sim.det.20', 'sim.distance', 'z.sim', 'z.sim.20' and 'z.sim.20.fa'.

datasets

Tools to generate random landscape graphs, evaluate species
occurrence in dynamic landscapes, simulate future landscape occupation and
evaluate range expansion when new empty patches are available (e.g. as a
result of climate change). References: Mestre, F., Canovas, F., Pita, R.,
Mira, A., Beja, P. (2016) <doi:10.1016/j.envsoft.2016.03.007>; Mestre, F.,
Risk, B., Mira, A., Beja, P., Pita, R. (2017)
<doi:10.1016/j.ecolmodel.2017.06.013>; Mestre, F., Pita, R., Mira, A., Beja,
P. (2020) <doi:10.1186/s12898-019-0273-5>.

Frederico Mestre

MetaLandSim

Landscape and Range Expansion Simulation

simulatedifm function

<dl>
 <dt><code>sim.area</code></dt>
<dd>Vector of the areas for each site; here, 100 sites.</dd> <dt><code>sim.det.20</code></dt>
<dd>100 x 10 x 3 array corresponding to nsites x nyears x nvisits. Data simulated with year-specific detection probabilities equal to 0.4,0.6,0.2,0.9,0.3,0.4,0.6,0.2,0.9,0.3.</dd> <dt><code>sim.distance</code></dt>
<dd>nsite x nsite distance matrix.</dd> <dt><code>z.sim</code></dt>
<dd>nyear x nsite occupancy data generated with perfect detection.</dd> <dt><code>z.sim.20</code></dt>
<dd>nyear x nsite occupancy data generated with perfect detection with approximately 20% of data missing at random.</dd> <dt><code>z.sim.20.fa</code></dt>
<dd>nyear x nsite occupancy data containing false absences, which can be used to explore the bias of ifm.missing.MCMC and ifm.naive.MCMC when there is imperfect detection.</dd> 
</dl>

Format

Set of simulated data to use with the IFM parameter estimation functions. The data were generated using the code provided in "details". — simulatedifm

<dl>
 <dt><code>sim.area</code></dt>
<dd>Vector of the areas for each site; here, 100 sites.</dd>

 <dt><code>sim.det.20</code></dt>
<dd>100 x 10 x 3 array corresponding to nsites x nyears x nvisits. Data simulated with year-specific detection probabilities equal to 0.4,0.6,0.2,0.9,0.3,0.4,0.6,0.2,0.9,0.3.</dd>

 <dt><code>sim.distance</code></dt>
<dd>nsite x nsite distance matrix.</dd>

 <dt><code>z.sim</code></dt>
<dd>nyear x nsite occupancy data generated with perfect detection.</dd>

 <dt><code>z.sim.20</code></dt>
<dd>nyear x nsite occupancy data generated with perfect detection with approximately 20% of data missing at random.</dd>

 <dt><code>z.sim.20.fa</code></dt>
<dd>nyear x nsite occupancy data containing false absences, which can be used to explore the bias of ifm.missing.MCMC and ifm.naive.MCMC when there is imperfect detection.</dd>

 
</dl>

Set of simulated data to use with the IFM parameter estimation functions. The data were generated using the code provided in "details".

Tools to generate random landscape graphs, evaluate species
occurrence in dynamic landscapes, simulate future landscape occupation and
evaluate range expansion when new empty patches are available (e.g. as a
result of climate change).

simulatedifm: Set of simulated data to use with the IFM parameter estimation functions. The data were generated using the code provided in "details".

Description

Arguments

Format

Details