#MovingPandas v0.17 released!

Over the last couple of months, I have not been posting release announcements here, so there is quite a bit to catch up.

New features (since 0.14):
1. Improved #MovingFeatures MF-JSON
2. New OutlierCleaner
3. Faster stop detection
4. New arrow markers
5. Distance, speed, and acceleration unit handling
6. New aggregation parameter for to_traj_gdf()
7. New get_segments_between()

http://anitagraser.com/2023/11/15/movingpandas-v0-17-released/

Had a great time presenting the "State of #MovingPandas" at the #GISDay event at #HERE today

Glad to hear that @timlinux already covered the #QGIS introduction yesterday 👍

#HEREmaps #GISChat #SpatialDataScience #MobilityDataScience

The materials of my #MovementDataAnalytics with #MovingPandas and #DVC are openly available at:

https://github.com/movingpandas/movingpandas-examples/tree/opengeohub2023

The session recording will be made available as well, in the near future. Follow @opengeohub for updates

Getting ready for the next #MovingPandas release 0.17 with more trajectory cleaning features than ever before 😉

#MobilityScience #MovementDataAnalytics #SpatialDataScience

Did you know that @movingpandas also supports local image coordinates?

Currently working on a demo using #bicycle tracks extracted from #video footage 🚴🎥 published by @mszll

https://arxiv.org/abs/2211.01301

#openscience #MobilityAnalytics #MobilityDataScience #mobility #MovingPandas #TrafficFlow #planning #cycling #TrafficBehavior