Classes and Methods for Trajectory Data
as.list.Tracks
as.list.TracksCollection
Convert trajectory pattern to a list of marked point patterns
Conver trajectory pattern to a list of objects of class ppp
Converts data to an object of class "Track"
Fitting arima model to a track
Average pairwise distance of trajectory pattern over time
Average movement of trajectory pattern
Chimaps of tarjectory pattern.
Compares objects of class Track
obtain ranges of space and time coordinates
Kernel estimate of intensity of trajectory pattern
Class "difftrack"
Calculate distances between two Tracks objects
Downsample a Track
Frechet distance
Generalize objects of class Track, Tracks and TracksCollection
Inhomogeneous K-function for trajectory pattern
Pair correlation funcrion of trajectory pattern
Methods for class "arwlen"
Methods for class "distrack"
Methods for class "gTrack"
Methods for class "KTrack"
Methods for class "ArimaTrack"
Methods for class "arwlen"
Methods for class "distrack"
Methods for class "gTrack"
Methods for class "KTrack"
Methods for class "Track"
Methods for class "Track"
Methods for class "Tracks"
Methods for class "TracksCollection"
Methods for class "Trrow"
range.Track
Reconstruct objects of class "Track"
Generate random Track, Tracks or TracksCollection objects
obtain ranges of space and time coordinates
Draw a space-time cube.
Classes "Track", "Tracks", and "TracksCollection"
Movement smoothing of trajectory pattern
tsqTracks
unique.Track
Classes and methods for trajectory data, with support for nesting individual Track objects in track sets (Tracks) and track sets for different entities in collections of Tracks. Methods include selection, generalization, aggregation, intersection, simulation, and plotting.