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303 results for “movingpandas”

  1. Struggling to resist the urge to put more stuff on my demo poster for @mdm

    What do you think?
    1. Put more! ✨
    2. Enough! 👌
    3. Too crowded already 😖

  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. 🎉 Our demo has been accepted to the 24th International Conference on Mobile Data Management @mdm

    Looking forward to bringing to

  4. 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

  5. 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

  6. 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

  7. 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

  8. Interpolated Line styles are really growing on me. Very helpful to visualize results

    I've been testing the integration in the Model Designer, in combination with other toolbox algorithms
    anitagraser.com/2024/01/12/tra

  9. Hello Fosstodon,

    Greetings from , .

    I'm a working on at the . I serve on the and PSCs and am the lead developer of @movingpandas, a library for .

  10. Yay or nay? What do you think about these squiggly lines as a solution for visualizing overlapping lines?

    This is just a small sample dataset from , visualized using and

  11. @pokateo I'm a senior scientist at the , developing solutions using tools

    I'm the lead developer of @movingpandas, serve on the PSC of @qgis, and try to keep an eye on & developments

    I love exploring new ways to work with spatial data. Recently started dabbling with

  12. Working on some methods today, getting rid of unrealistic jumps that cannot be handled by the @movingpandas smoother

    Stay tuned for the next release or head over to try the dev version yourself

    github.com/movingpandas/moving

  13. I'm so happy that we're finally in a place where we can whip up a quick trajectory data exploration app with maps and graphs from rather arbitrary inputs, be it plain old csv with x/y in any crs known to proj, or fancy gis formats in just a few minutes.

    It's minimal extra effort and seems to impress most people so much more than comparable plots in a notebook 🤷‍♀️😀

  14. I'm so happy that we're finally in a place where we can whip up a quick trajectory data exploration app with maps and graphs from rather arbitrary inputs, be it plain old csv with x/y in any crs known to proj, or fancy gis formats in just a few minutes.

    It's minimal extra effort and seems to impress most people so much more than comparable plots in a notebook 🤷‍♀️😀

    #MovingPandas #panel #hvplot #holoviz #holoviews #geoviews #geopandas #SpatialDataScience #mobilitydatascience #dataviz