MovingPandas

Need more speed? 👀

50-81% runtime savings in our experiments! 👩‍💻📉

Give our latest release v0.22.3 a try, and don't forget to check out whether your favorite algorithms come with parallel processing support

@underdarkGIS@fosstodon.org

Even more human #MovementBehavior research:

Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6

"We first segmented time periods when the group was in motion by identifying break periods using the stop detection feature from the MovingPandas Python package"

#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility

New #IOT research using yours truely:

Koszewski et al. (2025). Utilizing IoT Sensors and Spatial Data Mining for Analysis of Urban Space Actors’ Behavior in University Campus Space Design.
https://doi.org/10.3390/s25051393

"Trajectories were processed by the MovingPandas Python library, which offers several valuable processing algorithms"

For the full list of publications we're aware of, check out:

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience

🎉 We're happy to announce the release of #MovingPandas 0.20, now without fiona dependency

For the full changelog see:
https://github.com/movingpandas/movingpandas/releases/tag/v0.20

Freshly forged packages 📦  are available now on conda-forge

#python #datascience #mobility #movementdataanalysis

New #bicycle 🚲 research #preprint using yours truly:

Skåntorp et al. (2024). Data-driven bicycle driving cycles via mixed-integer programming

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

For the full list of publications we're aware of, check out:

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

Pleasure to see more and more use from students:

"we utilize the stop detection tools provided by MovingPandas"

Wicaksono, S. B. (2024). From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories. Master Thesis in Data Science, Department of Mathemetics, University of Padova.

https://thesis.unipd.it/handle/20.500.12608/69505

#DataScience #MovingPandas #MovementDataAnalytics #MobilityDataScience #GISChat