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#mobilityanalytics β€” Public Fediverse posts

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

  1. Our urban project EMERALDS hosts its next webinar tomorrow:
    πŸ—“οΈ 27 June | ⏰ 14:30 CEST | πŸ“Online
    How The Hague is using data to manage urban risks.
    Register πŸ‘‰ emeralds-horizon.eu/events/urb

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. GTFS algorithms about to land inΒ Trajectools

    continues growing. Lately, we have started expanding towards analyses. The algorithms available through the current Trajectools development version are courtesy of the library

    anitagraser.com/2024/05/04/gtf

  13. Trajectools 2.0 releasedΒ πŸŽ‰

    It's my pleasure to share with you that 2.0 just landed in the official Plugin Repository. This is the first version without the "experimental" flag. If you look at the plugin release history, you will see that the previous release was from 2020. That's quite a while ago, and a lot has happened since…

    anitagraser.com/2024/02/24/tra

  14. The toolbox continues to grow.

    New in: stop detection and trajectory styling

    I’m continuously testing the algorithms integrated so far to see if they work as GIS users would expect and can to ensure that they can be integrated in Processing model seamlessly.

    anitagraser.com/2024/01/27/tra

  15. If you had issues with version 0.17.0 in your 3.9 and 3.8 environments, please update to version 0.17.1 released today

    movingpandas.org

  16. πŸ“£ 1.1 alpha is out now

    This version provides a much more powerful and optimized backend with many enhanced possibilities for doing .

    Note that the binary format has changed from 1.0 to 1.1, so it is necessary to reload the databases containing columns using MobilityDB types.

    Packaging for and is in progress.

    Please report any issues on the
    github.com/MobilityDB/Mobility tracker

  17. "The raw coordinates and their timestamps were processed to detect individual (trips) for each battery using @movingpandas

    The individual trajectories were split between stopping points, which were detected when the coordinates of the remained within a diameter of 200 m for at least 5 min

    For each detected trip, the start time, end time, trip duration, trip distance, and average trip speed were determined and recorded for further analysis

  18. πŸŽ‰ Finally, the first release of for PostGIS :postgresql: on

    3.3.3 Bundle for is now available on application
    stackbuilder and website.
    Details of what's included are listed on:
    postgis.net/documentation/gett

    For more about in visit mobilitydb.com

    Huge thanks to @reginaobe for making this happen

  19. Very interesting ✈️ patterns here:

    Visualisation of all civil flights over on 22th of May 2018 from 00-24h by user neboysh

    - Data source:
    (Air traffic management surveillance tracker and server), 4002 unique extracted from 3 million tracking points

    - Software: 3.2.1

    flickr.com/photos/10169636@N07

  20. New 🚴 track analytics demo key topics are:

    1️⃣ Using @movingpandas with local image coordinates
    2️⃣ Georeferencing video-based trajectories using @qgis VectorBender plugin

    anitagraser.com/2023/05/21/ana

    tracks extracted from footage πŸŽ₯ courtesy of @mszll

  21. @mszll did some vector georeferencing with the Vector Bender plugin plugins.qgis.org/plugins/Vecto for fun to see where that would lead us

    With enough ground control points, this could work to some degree. It won't be perfect but should improve speed estimates

  22. We're happy to announce that the new version 0.16 has just been released πŸŽ‰

    This is the first release to support 2.0

    In addition, new features include:
    🎈 New custom unit support for distance, speed, and acceleration functions
    🎈 Improved plots with arrow markers to indicate direction

    More details:
    github.com/movingpandas/moving

  23. We've just merged a long-awaited feature: different distance, speed, and acceleration units support

    github.com/movingpandas/moving

    This should make working with the results much more user-friendly than the basic SI units we have provided so far