#movementdataanalysis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #movementdataanalysis, aggregated by home.social.
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Will we finally get nice html representations of @movingpandas Trajectories and TrajectoryCollections?
WIP 👩💻 : https://github.com/movingpandas/movingpandas/issues/293
Any feedback / ideas welcome!
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Excellent video tutorial on creating animated traces in #QGIS over on #reddit:
https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/
This is just a sneak peak of the results:
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Excellent video tutorial on creating animated traces in #QGIS over on #reddit:
https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/
This is just a sneak peak of the results:
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Excellent video tutorial on creating animated traces in #QGIS over on #reddit:
https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/
This is just a sneak peak of the results:
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Excellent video tutorial on creating animated traces in #QGIS over on #reddit:
https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/
This is just a sneak peak of the results:
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Excellent video tutorial on creating animated traces in #QGIS over on #reddit:
https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/
This is just a sneak peak of the results:
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From a bunch of csv files to a neat #SpatialAnalytics dataset:
Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools
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From a bunch of csv files to a neat #SpatialAnalytics dataset:
Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools
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From a bunch of csv files to a neat #SpatialAnalytics dataset:
Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools
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From a bunch of csv files to a neat #SpatialAnalytics dataset:
Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools
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From a bunch of csv files to a neat #SpatialAnalytics dataset:
Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools
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Finally finished my #Trajectools presentation for #QGISUC2025 on Monday
May still have to cut here and there to stay within the time limit 😅
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Love the visual summary of #SDSC25
No pandas were harmed in the process 😉
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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
-
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
-
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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🎉 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
-
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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New release 🎉
#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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#ChatGPT Data Analyst vs movement data
Today, I took ChatGPT's Data Analyst for a spin. You've probably seen the fancy advertising videos: just drop in a dataset and AI does all the analysis for you?! Let's see ...
http://anitagraser.com/2024/05/30/chatgpt-data-analyst-vs-movement-data/
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😅 I should probably leave logo design to the professionals, but this will have to do for now.
At least there is a small #Trajectools page besides the github repo now:
https://anitagraser.com/trajectools/
#QGIS #GISChat #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #Python
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😅 I should probably leave logo design to the professionals, but this will have to do for now.
At least there is a small #Trajectools page besides the github repo now:
https://anitagraser.com/trajectools/
#QGIS #GISChat #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #Python
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😅 I should probably leave logo design to the professionals, but this will have to do for now.
At least there is a small #Trajectools page besides the github repo now:
https://anitagraser.com/trajectools/
#QGIS #GISChat #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #Python
-
😅 I should probably leave logo design to the professionals, but this will have to do for now.
At least there is a small #Trajectools page besides the github repo now:
https://anitagraser.com/trajectools/
#QGIS #GISChat #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #Python
-
😅 I should probably leave logo design to the professionals, but this will have to do for now.
At least there is a small #Trajectools page besides the github repo now:
https://anitagraser.com/trajectools/
#QGIS #GISChat #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #Python
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More work on #QGIS #Trajectools today: #MovingPandas TemporalSplitter and ObservationGapSplitter are integrated now. SpeedSplitter and StopSplitter are still on the todo list
I wonder if it's better to have all splitters in one processing algorithm or if I should implement four independent algorithms instead 🤔
#MobilityDataScience #MovementDataAnalysis #GISChat #DataScience
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Cool to see more users from #MovementEcology 🐮 😎
Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). https://doi.org/10.1007/s11442-023-2147-1
"The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange
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Cool to see more users from #MovementEcology 🐮 😎
Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). https://doi.org/10.1007/s11442-023-2147-1
"The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange
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Cool to see more users from #MovementEcology 🐮 😎
Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). https://doi.org/10.1007/s11442-023-2147-1
"The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange
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Cool to see more users from #MovementEcology 🐮 😎
Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). https://doi.org/10.1007/s11442-023-2147-1
"The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange
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Cool to see more users from #MovementEcology 🐮 😎
Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). https://doi.org/10.1007/s11442-023-2147-1
"The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange
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🎉 We're happy to announce the release of #MovingPandas 0.17, featuring
✅️ Improved #MFJSON support
✅️ New OutlierCleaner
✅️ Improved #hvplot interactive plots
and more, see:
https://github.com/movingpandas/movingpandas/releases/tag/v0.17Freshly forged packages 📦 are available now on conda-forge
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🎉 We're happy to announce the release of #MovingPandas 0.17, featuring
✅️ Improved #MFJSON support
✅️ New OutlierCleaner
✅️ Improved #hvplot interactive plots
and more, see:
https://github.com/movingpandas/movingpandas/releases/tag/v0.17Freshly forged packages 📦 are available now on conda-forge
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🎉 We're happy to announce the release of #MovingPandas 0.17, featuring
✅️ Improved #MFJSON support
✅️ New OutlierCleaner
✅️ Improved #hvplot interactive plots
and more, see:
https://github.com/movingpandas/movingpandas/releases/tag/v0.17Freshly forged packages 📦 are available now on conda-forge