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#movementdata β€” Public Fediverse posts

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

  1. Tracking with care: The ethics of using location tracking technology with people living with dementia

    Imagine you’re 83 years old, living with dementia in a long-term care home. Lately, your caregivers keep asking…
    #NewsBeep #News #Health #CA #Canada #Carestaff #Caregivers #familycaregivers #movementdata #residents #RTLS
    newsbeep.com/ca/311063/

  2. 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

  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 #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

  5. 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

  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. And most recently in :

    Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for . Applied Geography, 167, 103276. - " and packages in were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

    sciencedirect.com/science/arti

  8. And most recently in #Geopraphy:

    Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

    sciencedirect.com/science/arti

    #GIScience #GISChat #MobilityAnalytics #MovementData

  9. And most recently in #Geopraphy:

    Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

    sciencedirect.com/science/arti

    #GIScience #GISChat #MobilityAnalytics #MovementData

  10. And most recently in #Geopraphy:

    Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

    sciencedirect.com/science/arti

    #GIScience #GISChat #MobilityAnalytics #MovementData

  11. And most recently in #Geopraphy:

    Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

    sciencedirect.com/science/arti

    #GIScience #GISChat #MobilityAnalytics #MovementData

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Today, we've had our first successful mini workshop with colleagues from the EMERALDS project, working on

    If everything goes to plan, Trajectools will be at
    @mdm

    There are still a few days left to submit your own work and join us: mdm2024.github.io/calls.html

  18. Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

    If everything goes to plan, Trajectools will be at #MDM2024
    @mdm

    There are still a few days left to submit your own work and join us: mdm2024.github.io/calls.html

    #QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

  19. Also added some more statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the toolbox or in the model designer

  20. Also added some more #trajectory statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the #QGISProcessing toolbox or in the #QGIS model designer

    #MobilityData #Trajectools #MovementData #MobilityDataScience #MovingPandas #MovementDataInGIS

  21. Also added some more #trajectory statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the #QGISProcessing toolbox or in the #QGIS model designer

    #MobilityData #Trajectools #MovementData #MobilityDataScience #MovingPandas #MovementDataInGIS

  22. Also added some more #trajectory statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the #QGISProcessing toolbox or in the #QGIS model designer

    #MobilityData #Trajectools #MovementData #MobilityDataScience #MovingPandas #MovementDataInGIS

  23. Also added some more #trajectory statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the #QGISProcessing toolbox or in the #QGIS model designer

    #MobilityData #Trajectools #MovementData #MobilityDataScience #MovingPandas #MovementDataInGIS

  24. development version now features out-of-the-box Interpolated Line styling for trajectories 🌈

    Additionally, we can now clip a trajectory layer by a polygon layer (as well as to an extent)

    github.com/movingpandas/qgis-p