triangulate: Calculates the intersection of bearings of the same frequency...
In radiotrackingeu/radiotrackingeu: Localization for Ecology using Radio-Telemetry

Description Usage Arguments Value Author(s) Examples

Calculates the intersection of bearings of the same frequency and time interval.

triangulate(receivers, bearings, only_one = FALSE,
  time_error_inter_station = 0.6, angles_allowed = c(30, 150),
  tri_option = "centroid", tm_method = "spline", spar = 0.01,
  progress = FALSE)

`receivers`	Data frame of all receivers with station names and positions.
`bearings`	Data frame produced by doa().
`only_one`	Whether a location should be estimated based on signal strength if only one bearing is available in a time slot.
`time_error_inter_station`	Accepted time discrepancy between station clocks in seconds. Used in timematch_inter()
`angles_allowed`	Vector of lower and upper limits for angles between bearings.
`tri_option`	What to do if more than two bearings per time slot are available: "two_strongest" - just consider the two bearings with the strongest signal, "centroid" - calculate a centroid of all intersection points
`tm_method`	Which method of time matching to use: "tm" - time slots, "spline" - spline smoothing See `smooth_to_time_match` and `time_match_signals`.
`spar`	Smoothing factor for the spline to be used with `tm_method="spline"`.
`progress`	Whether this call is wrapped in a `shiny::withProgress` call.

Data frame containing triangulated UTM coordinates.

Dipl.-Phys. Ralf Zeidler, ralf.zeidler@fridata.de

logger_data_tm <- time_match_signals(ld_small)
#registerDoParallel(cores=2)
doa <- doa(logger_data_tm,receiver_data)
triangulate(receiver_data,doa)
#stopImplicitCluster()