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260 results for “movingpandas”
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A new milestone for @movingpandas: 💯 repositories depend on #MovingPandas according to https://github.com/movingpandas/movingpandas/network/dependents
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Even more human #MovementBehavior research:
Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6"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"
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility
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Even more human #MovementBehavior research:
Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6"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"
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility
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Even more human #MovementBehavior research:
Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6"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"
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility
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Even more human #MovementBehavior research:
Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6"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"
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility
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Even more human #MovementBehavior research:
Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025).
https://doi.org/10.1186/s41235-025-00617-6"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"
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #HumanMobility
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New #IOT 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.
https://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:
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience
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New #IOT 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.
https://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:
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience
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New #IOT 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.
https://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:
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience
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New #IOT 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.
https://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:
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience
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New #IOT 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.
https://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:
#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience
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Urban Mobility Insights with #MovingPandas & #CARTO in #Snowflake
Today, I want to point out a blog post over at written together with my fellow 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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🎉 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 📦 are available now on conda-forge
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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:
#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData
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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:
#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData
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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:
#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData
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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:
#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData
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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:
#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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@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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@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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@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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@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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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 😉
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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#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 the 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 🎉
https://mybinder.org/v2/gh/movingpandas/movingpandas-examples/main
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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