Creating animation using #Blender and Python. Garbage truck 🗑️ 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
#movingpandas
Lots of #MovementDataAnalytics on stage at #SDSC25 today 🤩
Including yours truly with @movingpandas and @qgis #Trajectools
Working on making #Trajectools faster 🏃♀️
First steps: https://codeberg.org/movingpandas/trajectools/issues/67#issuecomment-3966533
More improvements coming with the next #MovingPandas release
A new milestone for @movingpandas: 💯 repositories depend on #MovingPandas according to https://github.com/movingpandas/movingpandas/network/dependents
🥳 New versions of @movingpandas and #Trajectools have just landed:
🚢🚚🚲🦅 #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
🙏 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
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
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
#TSAS is hosting a special issue on #UrbanMobility this Spring. Possibly of interest to those working with #MovingPandas and similar tools.
https://maestro.acm.org/trk/click?ref=z16l2snue3_2-318b0_0x343b59x05212
I've had smoother releases 🙃
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 🆙
#MovementDataAnalytics #MobilityDataScience #Python #DataScience #GISChat
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 🤔
Details: https://github.com/movingpandas/movingpandas/issues/446
#FollowerPower #GISChat #MovingPandas #MovementDataAnalytics
Interesting to see the distance between Maplands (home of
@qgis) and Geosppytiallia (home of @movingpandas) in #MapOfGithub https://anvaka.github.io/map-of-github/#11.91/27.53081/20.1991
Why are Lidaria and Carto3Dica in between?
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/
🎉 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/v0.20
Freshly forged packages 📦 are available now on conda-forge
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
@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
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
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
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
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
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
Client Info
Server: https://mastodon.social
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