make.sim.track.par: Simulate tracks in parallel
In galuardi/SatTagSim: Simulation from Electronic Tags

Description Usage Arguments Details Value Author(s) Examples

Function to simulate a single track using monthly parameters, bathymetry and World Ocean Atlas SST in parallel

make.sim.track.par(
  tpar = tpar,
  morder = morder,
  sp = spts,
  bath = bath,
  sstmat = sstmat,
  seaslen = 30,
  sstol = 2,
  mcoptions = setup.parallel(),
  ...
)

`tpar`	data frame of simulation parameters
`morder`	month order for simulation (e.g. start in June vs start in January)
`sp`	list of starting points
`sstmat`	list of lon, lat and 3D matrix of monthly sea surface temperature. see details
`seaslen`	length of each month to simulate. Defaults to 30 (days per month)
`sstol`	tolerance for sst matching. see details
`mcoptions`	This is a hidden variable that must be present to run in parallel
`n`	number of tracks to simulate

sstmat in this package is a running average of index suitable temperature for each month. Each month has values 0-3. A value of 3, for example, represents areas suitable in the current month, previous month and next month. The sstol flag can make matching criteria more or less restrictive. The default value means that at least two months of suitability, centered on the current month, must be valid for a simulation point. Tracks may be generated by increasing morder (e.g. rep(morder, 2) for a 24 month track) Function uses mcoptions from setup.parallel to run in parallel.

List of simulated tracks. Tracks are data frames with columns: lon lat month

Benjamin Galuardi