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#mobilitydatascience β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mobilitydatascience, aggregated by home.social.

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  1. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

    #GIScience #MobilityDataScience #MovementDataAnalytics

  2. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

  3. The #MobilityDB team just announced v1.3.0-alpha featuring

    New temporal types:
    πŸ†• tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
    πŸ†• temporal circular buffer (tcbuffer)
    πŸ†• temporal pose (tpose) type, storing the evolution of a pose
    (point position + orientation)

    and more ...

    github.com/MobilityDB/Mobility

    #MobilityDataScience #MovementData #GISChat #OSGeo

  4. The team just announced v1.3.0-alpha featuring

    New temporal types:
    πŸ†• tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
    πŸ†• temporal circular buffer (tcbuffer)
    πŸ†• temporal pose (tpose) type, storing the evolution of a pose
    (point position + orientation)

    and more ...

    github.com/MobilityDB/Mobility

  5. If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning πŸŒ„

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale fΓΌr den ΓΆffentlichen Verkehr

    #AI4PT #MovementDataAnalytics

  6. If you're at , I'd love to see you at our workshop focused on tomorrow morning πŸŒ„

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale fΓΌr den ΓΆffentlichen Verkehr

  7. The quest for a fair TimeGPT benchmark

    At the end of yesterday's #TimeGPT for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...

    anitagraser.com/2025/03/29/the

    #GeoAI #MobilityDataScience #FoundationModels #GISChat

  8. The quest for a fair TimeGPTΒ benchmark

    At the end of yesterday's for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...

    anitagraser.com/2025/03/29/the

  9. 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).
    doi.org/10.1186/s41235-025-006

    "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

  10. Even more human research:

    Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
    doi.org/10.1186/s41235-025-006

    "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"

  11. 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.
    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:

    github.com/movingpandas/moving

    #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience

  12. New 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.
    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:

    github.com/movingpandas/moving

  13. The EMERALDS project @emeraldseu is hosting an MLOps webinar "EMERALDS Data Infrastructure and Development Frameworks” on 21 February, at 11:30 CET, see emeralds-horizon.eu/events/eme

    The talks explore the design and implementation of a dedicated #MLOps platform built with specialised #mobility libraries and tools. This platform is tailored to support ML engineers in the development and deployment of machine learning models for real-world applications

    #MobilityDataScience

  14. The EMERALDS project @emeraldseu is hosting an MLOps webinar "EMERALDS Data Infrastructure and Development Frameworks” on 21 February, at 11:30 CET, see emeralds-horizon.eu/events/eme

    The talks explore the design and implementation of a dedicated platform built with specialised libraries and tools. This platform is tailored to support ML engineers in the development and deployment of machine learning models for real-world applications

  15. 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.

    thesis.unipd.it/handle/20.500.

    #DataScience #MovingPandas #MovementDataAnalytics #MobilityDataScience #GISChat

  16. 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.

    thesis.unipd.it/handle/20.500.

  17. New Trajectools 2.1 and MovingPandas 0.18 releases

    Today marks the 2.1 release of #Trajectools for #QGIS. This release adds multiple new algorithms and improvements. Since some improvements involve upstream #MovingPandas functionality, I recommend to also update MovingPandas while you're at it.

    anitagraser.com/2024/05/20/new

    #MovementDataAnalytics #MobilityDataScience #MovementDataInGIS #GISChat

  18. New Trajectools 2.1 and MovingPandas 0.18Β releases

    Today marks the 2.1 release of for . This release adds multiple new algorithms and improvements. Since some improvements involve upstream functionality, I recommend to also update MovingPandas while you're at it.

    anitagraser.com/2024/05/20/new

  19. So glad our #Dagstuhl seminar paper on #MobilityDataScience is finally published and open access πŸŽ‰

    Mobility Data Science: Perspectives and Challenges

    doi.org/10.1145/3652158

    Kudos to the leading author team for distilling all the inputs

    #Mobility #MovementData #MobilityAnalytics

  20. So glad our seminar paper on is finally published and open access πŸŽ‰

    Mobility Data Science: Perspectives and Challenges

    doi.org/10.1145/3652158

    Kudos to the leading author team for distilling all the inputs