home.social
Sign in Create account

MovingPandas

@[email protected]
View on fosstodon.org
  1. MovingPandas @movingpandas ·

    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"

    #movementbehavior #movementdataanalysis #mobilitydataanalytics #mobilitydatascience #humanmobility
  2. MovingPandas @movingpandas ·

    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

    #iot #movementdataanalysis #mobilitydataanalytics #mobilitydatascience
  3. MovingPandas @movingpandas ·

    Our KalmanSmootherCV implementation is actually using the excellent library. Check them out:

    stonesoup.readthedocs.io/en/v1

    #stonesoup
  4. MovingPandas @movingpandas ·

    New 🚲 research using yours truly:

    Skåntorp et al. (2024). Data-driven bicycle driving cycles via mixed-integer programming

    "we utilized the from the library"

    dx.doi.org/10.13140/RG.2.2.199

    For the full list of publications we're aware of, check out:

    github.com/movingpandas/moving

    #bicycle #preprint #kalmanfilter #movingpandas #mixedintegerprogramming #movementdataanalysis
  5. MovingPandas @movingpandas ·

    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
  6. MovingPandas @movingpandas ·

    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

    #geopraphy #protectedarea #recreationmanagement #geopandas #movingpandas #python
  7. MovingPandas @movingpandas ·

    Our first citation of the year 🎉

    Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: github.com/movingpandas/moving

    "the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"

    #movingpandas #geopandas #gischat #python #movementdatascience #ais
  8. MovingPandas @movingpandas ·

    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

    #movingpandas #python #movementdatascience #mobilityanalytics #gischat #giscience
  9. MovingPandas @movingpandas ·

    Enjoy the latest convenience features for exploration:
    ✅ Support for tons of different units for distance, time, speed, and acceleration movingpandas.org/units
    ✅ Interactive plots visualizing values along the trajectory as well as movement direction

    For example: visualizing Traces
    movingpandas.org/examples

    #movementdata #osm
  10. MovingPandas @movingpandas ·

    👩‍💻 All our examples are updated and ready to explore at:
    movingpandas.org/examples

    #python #pandas #geopandas #geoviews #mobilityanalytics #opensource
  11. MovingPandas @movingpandas ·

    We're happy to announce that the new version 0.16 has just been released 🎉

    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

    #pandas #mobilityanalytics #movementdataanalytics #movementdata #movingpandas #python
  12. MovingPandas @movingpandas ·

    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

    #movementdatascience #datascience #mobilitydatascience #mobilityanalytics
  13. MovingPandas @movingpandas ·

    🎈 So happy to report that main is now running on the shiny new 2.0 release 🎈

    Thank you, @pandas_dev for all your work!

    #movingpandas #pandas #partylikeascientist #python #mobilityanalytics #datascience