make.sim.track.par: Simulate tracks in parallel

In galuardi/SatTagSim: Simulation from Electronic Tags

Simulate tracks in parallel

Description

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

Usage

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

Arguments

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

Details

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.

Value

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

Author(s)

Benjamin Galuardi

Examples

see vignette

galuardi/SatTagSim documentation built on Oct. 22, 2024, 10:18 a.m.