How move functions map to move2 functions

In this document there is a mapping for move to move2 functions. Not all functions will have a direct replacement, at least not initially. In some cases this is by design to make the scope of the move2 package more streamlined. Also not that in many cases the functions are not direct drop in replacement and return slightly different formats (e.g. distance and speed functions now always return vectors). Rather consider this mapping a pointer of where to start looking if you search a move2 equivalent.

move move2 Note/comment
angle() mt_azimuth()
trackId() mt_track_id()
timestamps() mt_time()
timestamps()<- mt_set_time()
timeLag() mt_time_lags()
distance(), seglength() mt_distance()
speed() mt_speed()
moveStack() mt_stack()
n.indiv() mt_n_tracks()
n.locs() nrow()/table(mt_track_id())
idData() mt_track_data()
idData()<- mt_set_track_data()
turnAngleGc() mt_turnangle()
unUsedRecords() x[sf::st_is_empty(x),]
namesIndiv() unique(mt_track_id())
getDuplicatedTimestamps() mt_is_time_ordered(..., non_zero = TRUE) This is not a perfect replacement, but atleast gives a warning where duplicated times occur.
citations(), citations()<- mt_track_data()$citation, mutate_track_data(x, citation=...) Citations are now a track properties, this helps when combining studies.
licenseTerms(), licenseTerms()<- mt_track_data()$license_type, mutate_track_data(x, license_type=...), mt_track_data()$license_terms, mutate_track_data(x, license_terms=...) Licenses are not tracked per object separate anymore, rather they are considered a track attribute. This should facilitate more easly traceing what study has what license.
split() split(x, mt_track_id(x))
plot() plot(), plot(mt_track_lines())
equalProj() sf::st_crs()==sf::st_crs()
burst(), burstId(), burstId()<-, plotBursts() Currently bursting is not explicit functionality of the package, group_by might replace some functionality that is however grouping per point and not per segment
show() print()
move() mt_as_move2()
interpolateTime() mt_interpolate()
thinTrackTime() mt_filter_per_interval() These two functions are not exactly doing the same, the new one subsets the data to a specified time window, but also retains segments with larger timelags


For the following list either a mapping needs to be made or no alternative exists (yet)

# corridor
# emd
# getDataRepositoryData
# lines
# move2ade
# points
# sensor
# summary
# thinDistanceAlongTrack
# thinTrackTime
# unUsedRecords<-