gpstools: gpstools for animal movement data analysis

Description Usage Arguments Value Author(s) Examples

View source: R/pad.trajectory_function.R

pad.trajectory takes a matrix of locations associated to a vector of times at which these locations were acquired, and return a pseudo-regular times-series of locations filled with NAs when no locations were acquired within a duration tol from an expected time. When several locations were acquired within the duration tol, only the closest in time from the expected time of acquisition is kept. Because of the way it does the job it will also keep only one of several duplicates. This function was made because it seems that setNA and sett0 in adehabitatLT want ALL acquired locations to be in the output trajectory - this is problematic for some tracks which were very irregulars. Note that this function can be useful to subsample trajectories.

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pad.trajectory(xy, time, date.ref, dt, tol, correction.xy = c("none", "cs"),
  returnltraj = FALSE, idtraj = NULL, bursttraj = NULL, Index = NULL,
  max_sampling = NULL)

`xy`	matrix of locations
`date.ref`	a POSIXct object defining the date/time at which the output trajectory should start
`dt`	the duration (minutes) of the interval between two locations.
`tol`	the tolerance (minutes) within which a acquired location is close enough to be kept for locating the animal at an expected time
`correction.xy,`	none if the real times of acquired locations should be kept, cs if the output trajectory should be made regular (see above)
`returnltraj`	should the function return a ltraj object rather than a data frame
`idtraj`	the id that will be used to identify the ltraj object
`bursttraj`	the burst used to identify the ltraj object
`Index`	corresponding to the line in the original dataframe i.e. used afterwards to retrieve other attributes from the original data.
`max_sampling`	if you want not to calculate all time differences