v2.4

This version requires MovingPandas >= 0.21.2

import pip; pip.main(['install', '--upgrade', 'movingpandas'])

or

conda install movingpandas==0.21.2

Changelog

• Added GTFS algorithms for extracting stops, fixes #43
• Added default output styles for GTFS stops and segments c600060
• Added Trajectory splitting at field value changes 286fdbd
• Added option to add selected fields to output trajectories layer, fixes #53
• Improved UI of the split by observation gap algorithm, fixes #36

Figure: Trajectools (v2.4) algorithms in the QGIS Processing toolbox

v2.3

The Trajectools plugin adds trajectory analysis algorithms to the QGIS Processing toolbox:

Figure: Trajectools (v2.3) algorithms in the QGIS Processing toolbox

Changelog since 2.0

Since the complete rewrite for 2.0 (incl. switching to MovingPandas backend), the following releases have been published:

2.3

• Added generalizers and cleaners
• Added smoother (requires stonesoup)
• Fixed stop detection double input, fixes #40

2.2

• Added new logo
• Added skmob and gtfs_functions optional dependencies, fixes #30
• Updated API docs link, fixes #32

2.1

• Added Trajectory overlay algorithm to intersect trajectories with polygon layer
• Fixed issue with previously ignored minimum trajectory length settings
• Added Privacy algorithm for home work attack (requires scikit-mobility)
• Added GTFS algorithms for extracting shapes and segments (requires gtfs_functions)

2.0

• Switched to MovingPandas backend
• Added Basic algorithm to create trajectories
• Added Event extraction algorithms to extract OD points or stop points
• Added Trajectory splitting algorithms to split at observation gaps, at stops, or at time intervals
• Added Trajectory overlay algorithms to clip trajectories by extent or by polygon layer