This function allows to interpolate trajectories. It does this on the basis of a simple interpolation, depending on the spaceMethod that is specified.

interpolateTime(x, time, spaceMethod=c('euclidean','greatcircle','rhumbline'),...)



a move or moveBurst object.


either a number of locations (class numeric), a time interval (class difftime) or a vector of timestamps (class POSIXct) at which the interpolation should be done. See 'Details'.


a character that indicates the interpolation function (euclidean, great circle or along the rhumb line) to be used to generate the new locations.


Currently not implemented.


In the argument time:
- number of locations: refer the total number of locations that the resulting track will have distributed equally over time. E.g. if time=200, the resulting track will have 200 points interpolated at a constant time interval.
- time interval: refers to the time interval at which a location should be interpolated. E.g. if time=as.difftime(10, units="mins") a location will be interpolated every 10 mins.
- vector of timestamps: the timestamps of this vector have to be in ascending order, and within the time range of the track.


Move-class object of the interpolated locations.


Bart Kranstauber & Anne Scharf


data(leroy) ## providing the number of locations plot(leroy[100:150,], col="red",pch=20)
points(mv <- interpolateTime(leroy[100:150,], time=500, spaceMethod='greatcircle'))
## providing a time interval plot(leroy[100:150,], col="red",pch=20)
points(mv2 <- interpolateTime(leroy[100:150,], time=as.difftime(10, units="mins"), spaceMethod='greatcircle'))
## providing a vector of timestamps plot(leroy[100:150,], col="red",pch=20)
ts <- as.POSIXct(c("2009-02-13 10:00:00", "2009-02-13 12:00:00", "2009-02-13 14:00:00", "2009-02-13 16:00:00","2009-02-13 18:00:00","2009-02-13 20:00:00", "2009-02-13 22:00:00","2009-02-14 00:00:00","2009-02-14 02:00:00", "2009-02-14 04:00:00","2009-02-14 06:00:00", "2009-02-14 08:00:00", "2009-02-14 10:00:00"), format="%Y-%m-%d %H:%M:%S", tz="UTC") points(mv3 <- interpolateTime(leroy[100:150,], time=ts, spaceMethod='greatcircle'))