Calculates the autocorrelation of the track for \(\Delta\)s ranging from 1
to deltaSMax, based on Shamble et al. (2017). trj must have a
constant step length (see TrajRediscretize) i.e. all segments
in the trajectory must be the same length. deltaS is specified in number of
segments. Call TrajDAFindFirstMinimum to locate the first local
minimum which may be used to characterise directional periodicity in a
trajectory (note that the first local minimum may not exist).
TrajDirectionAutocorrelations(trj, deltaSMax = round(nrow(trj)/4))A data frame with class TrajDirectionAutocorrelations and 2
columns, deltaS and C. Plotting this object displays a graph
of the direction autocorrelation function, optionally with the location of
the first local minimum marked
The trajectory to calculate the directional autocorrelations for.
Maximum delta s to calculate, default is \(1/4\) the number of segments in the trajectory.
Shamble, P. S., Hoy, R. R., Cohen, I., & Beatus, T. (2017). Walking like an ant: a quantitative and experimental approach to understanding locomotor mimicry in the jumping spider Myrmarachne formicaria. Proceedings of the Royal Society B: Biological Sciences, 284(1858). doi:10.1098/rspb.2017.0308
TrajDAFindFirstMinimum,
plot.TrajDirectionAutocorrelations