#movingpandas — Public Fediverse posts

Today I'm at #edbticdt2025 to present MobiML, our latest contribution to facilitate #MachineLearning from movement data, building on @movingpandas, #pymeos, and others

More details:
https://github.com/movingpandas/mobiml

#MobilityDataScience #movingpandas #bmda2025

New #bicycle 🚲 research #preprint using yours truly:

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

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

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

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

New #bicycle 🚲 research #preprint using yours truly:

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

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

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

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

New #bicycle 🚲 research #preprint using yours truly:

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

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

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

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

New #bicycle 🚲 research #preprint using yours truly:

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

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

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

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

New #bicycle 🚲 research #preprint using yours truly:

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

"we utilized the #KalmanFilter from the #MovingPandas library"

http://dx.doi.org/10.13140/RG.2.2.19928.10240

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

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

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"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

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: https://mdm2024.github.io/calls.html

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

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

#Trajectools 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)

https://github.com/movingpandas/qgis-processing-trajectory/tree/main

#GISChat #MovementData #MobilityDataScience #QGIS #MovingPandas #QGISProcessing #MovementDataInGIS

#QGIS Interpolated Line styles are really growing on me. Very helpful to visualize #Trajectools results

I've been testing the #MovingPandas integration in the Model Designer, in combination with other #QGISProcessing toolbox algorithms
https://anitagraser.com/2024/01/12/trajectools-v2-in-the-works/

#GISChat #MovementData #MobilityDataScience #MovementDataInGIS

New year, new start: I'm rebooting the #QGIS Processing Trajectools plugin development. Trajectools v2 builds on #MovingPandas and exposes its trajectory analysis algorithms in the #QGISProcessing Toolbox. More:

http://anitagraser.com/2024/01/12/trajectools-v2-in-the-works/

#Mobility #MobilityData #MovementData #SpatialAnalysis #SpatialDataScience #GISChat

And so the #QGIS #Trajectools quest continues: Merging tools that logically belong together and applying default styles to better show the computed speed and direction values

Also switched to the @movingpandas logo as a plugin icon

https://github.com/movingpandas/qgis-processing-trajectory

#movingpandas #gischat #movementdata #mobilitydatascience #datascience #spatialdatascience

The live stream recording of my #MovementData engineering workshop with #DVC and #MovingPandas is up now at 🎬 https://www.youtube.com/live/roPF1oth2Pk?si=qKcWpJU96VWc9vZZ 🎬

Thanks to @opengeohub!

There will also be an edited version on TIB.eu in the future, if you prefer an add free platform. Stay tuned

#OGH2023 #MLOps #GISChat #MobilityDataScience

Nice speed boost here 👍

https://github.com/anitagraser/PyMEOS/blob/develop/pymeos_examples/MovingPandas/mpd-to-pymeos.ipynb

Thanks again, @martinfleis

#GISChat #MovingPandas #PyMEOS #Python #MovementDataAnalysis

Wondering if there's an efficient way to convert between #GeoPandas GeoSeries with datetime index and #PyMEOS TGeogPointSeq to hook up #MovingPandas and #MEOS.

First attempts: https://github.com/MobilityDB/PyMEOS/blob/develop/pymeos_examples/MovingPandas/MovingPandas%20-%20PyMEOS%20-%20AIS.ipynb but I'm sure there is room for improvement

#GISChat #Python #CFFI