#movingpandas β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #movingpandas, aggregated by home.social.
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Creating animation using #Blender and Python. Garbage truck ποΈ movement animation for Kaohsiung City from Tue, 4/15 to Thu, 4/17. Garbage collection in the city is mainly in the afternoons and evenings.
#b3d #MovingPandas -
Lots of #MovementDataAnalytics on stage at #SDSC25 today π€©
Including yours truly with @movingpandas and @qgis #Trajectools -
Working on making #Trajectools faster πββοΈ
First steps: https://codeberg.org/movingpandas/trajectools/issues/67#issuecomment-3966533
More improvements coming with the next #MovingPandas release
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A new milestone for @movingpandas: π― repositories depend on #MovingPandas according to https://github.com/movingpandas/movingpandas/network/dependents
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π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #MovingPandas 0.21.3 https://github.com/movingpandas/movingpandas/releases/tag/v0.21.3
:qgis: Trajectools 2.5 https://codeberg.org/movingpandas/trajectools/releases/tag/v2.5
π Please update your MovingPandas install to get all the improvements in #QGIS Trajectools https://plugins.qgis.org/plugins/processing_trajectory/#plugin-versions
#GISChat #MovementDataAnalytics #MobilityDataScience #Python
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Only one more week to submit to ACM TSAS special issue on Urban Mobility https://dl.acm.org/pb-assets/static_journal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf
HT https://mastodon.social/@luis_de_sousa/113946946892555809
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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 -
I've had smoother releases π
But hey, #MovingPandas 0.21 is here https://github.com/movingpandas/movingpandas/releases
Make sure to update if you want to use the new #QGIS #Trajectools plugin version which will be released soon π
#MovementDataAnalytics #MobilityDataScience #Python #DataScience #GISChat
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Yay or nay?
I'm contemplating changing the behavior of the TemporalSplitter in @movingpandas because I think that there should be no gaps in the results π€
Details: https://github.com/movingpandas/movingpandas/issues/446
#FollowerPower #GISChat #MovingPandas #MovementDataAnalytics
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Interesting to see the distance between Maplands (home of
@qgis) and Geosppytiallia (home of @movingpandas) in #MapOfGithub https://anvaka.github.io/map-of-github/#11.91/27.53081/20.1991Why are Lidaria and Carto3Dica in between?
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Urban Mobility Insights with #MovingPandas & #CARTO inΒ #Snowflake
Today, I want to point out a blog post over at written together with my fellowΒ co-authors and @emeraldseu project team member Argyrios Kyrgiazos.
For the technically inclined, the highlight are the presented UDFs in Snowflake to process and transform the trajectory data.
http://anitagraser.com/2024/12/17/urban-mobility-insights-with-movingpandas-carto-in-snowflake/
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π We're happy to announce the release of #MovingPandas 0.20, now without fiona dependency
For the full changelog see:
https://github.com/movingpandas/movingpandas/releases/tag/v0.20Freshly forged packages π¦Β Β are available now on conda-forge
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New #bicycle π² research #preprint using yours truly:
SkΓ₯ntorp 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:
#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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New release π
#Trajectools 2.3 brings trajectory generalization, cleaning, and smoothing algorithms to #QGIS
Inspired by #SDSL2024, I've written up the first Trajectools tutorial on #trajectory data preprocessing
http://anitagraser.com/2024/09/21/trajectools-tutorial-trajectory-preprocessing/
#MovementDataAnalysis #MobiltyDataAnalytics #GISChat #MovingPandas
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Leaving Prague with tons of new ideas and impressions.
Thanks @martinfleis and team for organizing and hosting this 2nd edition of SDSL. Looking forward to many more to come
#GISChat #SpatialDataScience #MovingPandas #MovementDataAnalytics #MobilityDataScience #GeoPandas #Opensource
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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.
https://thesis.unipd.it/handle/20.500.12608/69505
#DataScience #MovingPandas #MovementDataAnalytics #MobilityDataScience #GISChat
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Excited to share the latest news from our @emeraldseu project:
Urban #Mobility Insights with #MovingPandas & #CARTO @carto in #Snowflake
... including #UDF code for those of you who are technically inclined π
https://carto.com/blog/urban-mobility-insights-with-movingpandas-carto-in-snowflake
#GISChat #MobilityDataAnalysis #MovementDataAnalytics #snowflakedb #gis #SpatialDataScience
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Our tutorials and analysis notebooks now come with plenty of usage examples for the new explore() function which provides #folium powered interactive plots
You probably already know and appreciate it from #GeoPandas and now you can also enjoy it in #MovingPandas
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@liamcaffrey I tried, but unfortunately, nothing ChatGPT came up with really worked for me. So I ended up copying from the #geopandas docs again π
So the Trajectory and TrajectoryCollection pages are now better structured:
https://movingpandas.readthedocs.io/en/main/api/trajectory.html -
#MovingPandas 0.19 released!
This release is the first to support #GeoPandas 1.0. Additionally, this release adds multiple new features, including: New explore() function adds interactive #folium / #leaflet maps New support for #mfjson trajectory For theΒ full change log, check out the release page.
http://anitagraser.com/2024/08/23/movingpandas-0-19-released/
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#MovingPandas example notebook links to #mybinder should be back in business π
https://mybinder.org/v2/gh/movingpandas/movingpandas-examples/main
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We're very excited to announce that MovingPandas is now listed on osgeo.org π
https://www.osgeo.org/projects/movingpandas/
Thank you to the incubation committee for their support in the process β€οΈ
#osgeo @osgeo #movingpandas #GISChat #OpenSource #MovementDataScience #MobilityDataAnalysis #MobileDataManagement
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β¨ We're proud to announce #Trajectools for #QGIS version 2.2 release today β¨
This release makes sure that Trajectools can be more easily installed since #MovingPandas is pip-installable on most systems and the #scikitmobility and #gtfsfunctions dependencies are now optional
https://plugins.qgis.org/plugins/processing_trajectory/#plugin-versions
#GISChat #MovementDataAnalytics #MobileDataManagement #OSGeo #TrajectoryDataAnalytics
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New #MovingPandas tutorial: taking #OGC #MovingFeatures full circle withΒ MF-JSON
Read #MFJSON to TrajectoryCollection and write it out again in the standard MovingPoint JSON encoding
#MobileDataManagement #MobilityDataScience #MovementDataAnalytics
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More info about the new interactive trajectory plots for @movingpandas
Including preliminary experiments on the interpretation of #MovingPandas plots using #ChatGPT4o
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Thank you all for your feedback :ablobcathappypaws:
Quite happy with v2 ...
Got rid of all the window decorations, tried to better align the elements, and couldn't resist to add some more logos (#qgis, #movingpandas, and #scikitmobility) that hopefully will catch people's eyes and make them curious
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Struggling to resist the urge to put more stuff on my demo poster for @mdm
What do you think?
1. Put more! β¨
2. Enough! π
3. Too crowded already π#ScientificPoster #GISChat #Trajectools #MDM2024 #MovementDataAnalytics #QGIS #MovingPandas #QGISProcessing
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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
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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
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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
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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
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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
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More #transportation research using #MovingPandas π€©
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
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New Trajectools 2.1 and MovingPandas 0.18Β releases
Today marks the 2.1 release of #Trajectools for #QGIS. This release adds multiple new algorithms and improvements. Since some improvements involve upstream #MovingPandas functionality, I recommend to also update MovingPandas while you're at it.
http://anitagraser.com/2024/05/20/new-trajectools-2-1-and-movingpandas-0-18-releases/
#MovementDataAnalytics #MobilityDataScience #MovementDataInGIS #GISChat
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π Our #QGIS #Trajectools demo has been accepted to the 24th #IEEE International Conference on Mobile Data Management @mdm
Looking forward to bringing #Opensource #MovementDataAnalytics to #MDM2024
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If you like working with your data in the cloud, you may be happy to know that #MovingPandas is available in the #conda channel #Snowflake #Snowpark for #Python
https://repo.anaconda.com/pkgs/snowflake/
#MovementDataScience #MobilityDataScience #MovementDataAnalytics #CloudComputing
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Experimenting with integrating #scikitmobility #privacy checks into #Trajectools π©βπ»
Curious? Check out the dev version in:
https://github.com/movingpandas/qgis-processing-trajectory/tree/privacy#MovingPandas #MovementDataAnalytics #LocationPrivacy #MobilityDataScience
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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 #scikitmobility, visualized using #QGIS and #Trajectools
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Over 1,000 stars β wow!
Our community keeps growing and growing π€©
It's great to see the sustained interest in #MovementDataScience
If you know of any tool we missed, please share:
https://github.com/anitagraser/movement-analysis-tools/blob/main/README.md
#MovingPandas #GeoPandas #GISChat #Python #SpatialDataScience #StarHistory
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Trajectools 2.0 releasedΒ π
It's my pleasure to share with you that #Trajectools 2.0 just landed in the official #QGIS 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 sinceβ¦
http://anitagraser.com/2024/02/24/trajectools-2-0-released
#MovingPandas #GISChat #MovementDataAnalytics #MobilityAnalytics
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Our first citation of the year π
Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas
"the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"
#MovingPandas #GeoPandas #GISChat #Python #MovementDataScience #AIS #ArrivalTimePrediction #VesselTracking
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Our first citation of the year π
Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas
"the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"
#MovingPandas #GeoPandas #GISChat #Python #MovementDataScience #AIS #ArrivalTimePrediction #VesselTracking
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Our first citation of the year π
Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas
"the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"
#MovingPandas #GeoPandas #GISChat #Python #MovementDataScience #AIS #ArrivalTimePrediction #VesselTracking
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Our first citation of the year π
Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas
"the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"
#MovingPandas #GeoPandas #GISChat #Python #MovementDataScience #AIS #ArrivalTimePrediction #VesselTracking
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Our first citation of the year π
Glad to add Lei et al. (2024) "Predicting vessel arrival times on inland waterways" to the list: https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas
"the historical voyages are processed with the movingpandas library and stored as GeoDataFrames"
#MovingPandas #GeoPandas #GISChat #Python #MovementDataScience #AIS #ArrivalTimePrediction #VesselTracking
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The #QGIS #Trajectools toolbox continues to grow.
New in: stop detection and trajectory styling
Iβm 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.
https://anitagraser.com/2024/01/27/trajectools-update-stop-detection-trajectory-styling/
#QGISProcessing #MobilityAnalytics #AIS #MovementDataInGIS #MobilityDataScience #movingpandas
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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
@mdmThere 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
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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
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#Trajectools development version now features out-of-the-box Interpolated Line styling for trajectories π
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