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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. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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