TrackCollection

class core.track_collection.TrackCollection(TRACES=[])

Bases: object

TODO

Methods:

__init__([TRACES])	TRACES: list of Track
addTrack(track)	TODO
size()	TODO
length()	TODO
duration()	TODO
getTracks()	TODO
getTrack(i)	TODO
getTrackWithTid(tid)
copy()	TODO
setTimeZone(zone)	TODO
convertToTimeZone(zone)	TODO
frequency([mode])	TODO
createSpatialIndex([resolution, verbose])	TODO
exportSpatialIndex(filename)	TODO
importSpatialIndex(filename)	TODO
getSRID()	Return the SRID of collection
toECEFCoords([base])	TODO
toENUCoords([base])	TODO
toGeoCoords([base])	TODO
toENUCoordsIfNeeded()	TODO
smooth([constraint])	TODO
summary()	Print summary (complete wkt below)
toWKT()	Transforms collection into WKT string, one linestring per track
addAnalyticalFeature(algorithm[, name])	TODO
getAnalyticalFeature(af_name[, withNan])
getTimestamps_str([withNan])	Return the timestamps in a list format.
operate(operator[, arg1, arg2, arg3])	TODO
plot([symbols, markersize, margin, append])	TODO
filterOnBBox(bbox)	TODO
bbox()	TODO
resample(delta[, algo, mode])	Resampling tracks with linear interpolation
_collectionnify()	TODO
simplify(tolerance[, mode])	TODO
removeTrack(track)	TODO
removeEmptyTrack()	Remove tracks without observation
segmentation(afs_input, af_output, ...[, ...])	TODO
split_segmentation(af_output)	Découpe les traces suivant la segmentation définie par le paramètre af_output ET Remplace la trace par les traces splittées s'il y a une segmentation.
noise([sigma, kernel, force, cycle])	TODO
getLenth()
randNTracks(N)	Return a sample of n tracks from the collection.

__init__(TRACES=[])

TRACES: list of Track

addTrack(track)

TODO

size()

TODO

length()

TODO

duration()

TODO

getTracks()

TODO

getTrack(i)

TODO

getTrackWithTid(tid)

copy()

TODO

setTimeZone(zone)

TODO

convertToTimeZone(zone)

TODO

frequency(mode='temporal')

TODO

createSpatialIndex(resolution=None, verbose=True)

TODO

exportSpatialIndex(filename)

TODO

importSpatialIndex(filename)

TODO

getSRID()

Return the SRID of collection

Return type:

int

Returns:

SRID of current collection

toECEFCoords(base=None)

TODO

toENUCoords(base=None)

TODO

toGeoCoords(base=None)

TODO

toENUCoordsIfNeeded()

TODO

smooth(constraint=1000.0)

TODO

summary()

Print summary (complete wkt below)

toWKT()

Transforms collection into WKT string, one linestring per track

Return type:

str

addAnalyticalFeature(algorithm, name=None)

TODO

getAnalyticalFeature(af_name, withNan=True)

getTimestamps_str(withNan=True)

Return the timestamps in a list format.

operate(operator, arg1=None, arg2=None, arg3=None)

TODO

plot(symbols=None, markersize=[4], margin=0.05, append=False)

TODO

filterOnBBox(bbox)

TODO

bbox()

TODO

resample(delta, algo=1, mode=1)

Resampling tracks with linear interpolation

Parameters:

• delta – interpolation interval (time in sec if temporal mode is selected, space in meters if spatial).

• mode (Literal[1, 2]) –

  Mode of interpolation. Available modes are:

  • MODE_SPATIAL (mode=1)

  • MODE_TEMPORAL (mode=2)

Params algorithm:

of interpolation. Available algorithm are :

• ALGO_LINEAR (algo=1)

• ALGO_THIN_SPLINES (algo=2)

• ALGO_B_SPLINES (algo=3)

• ALGO_GAUSSIAN_PROCESS (algo=4)

NB: In temporal mode, argument may be:

• an integer or float: interval in seconds

• a list of timestamps where interpolation should be computed

• a reference track

_collectionnify()

TODO

simplify(tolerance, mode=1)

TODO

removeTrack(track)

TODO

removeEmptyTrack()

Remove tracks without observation

segmentation(afs_input, af_output, thresholds_max, mode_comparaison=1)

TODO

split_segmentation(af_output)

Découpe les traces suivant la segmentation définie par le paramètre af_output ET Remplace la trace par les traces splittées s’il y a une segmentation.

noise(sigma=5, kernel=None, force=False, cycle=False)

TODO

getLenth()

randNTracks(N)

Return a sample of n tracks from the collection.

Parameters

N : int

Returns

TrackCollection with n Tracks.