If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning ๐ŸŒ„

09:00-10:15 Session 1A: WS: Mobility Data Science & KI โ€“ Potenziale fรผr den รถffentlichen Verkehr

#AI4PT #MovementDataAnalytics

๐Ÿคฉ #MobilityDataAnalytics & #GIScience all around:

Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 ๐Ÿš„

Speed up your analytics with the new MovingPandas 0.22 and Trajectools 2.6

The latest releases of MovingPandas and Trajectools come with many โ€œunder the hoodโ€ changes that aim to make your movement analytics faster: Instead of immediately creating a GeoPandas โ€ฆ

Free and Open Source GIS Ramblings
neatnet: Street Geometry Processing Toolkit โ€” neatnet 0.1.1 documentation

Another interesting new paper on street network analysis, HT @gboeing

๐Ÿ’ฏ it's surprisingly hard to count intersections

https://onlinelibrary.wiley.com/doi/10.1111/tgis.70037

#giscience #gischat #mobility #MobilityDataScience

๐Ÿฅณ New versions of @movingpandas and #Trajectools have just landed:

๐Ÿšข๐Ÿšš๐Ÿšฒ๐Ÿฆ… #MovingPandas 0.21.3 https://github.com/movingpandas/movingpandas/releases/tag/v0.21.3

 Trajectools 2.5 https://codeberg.org/movingpandas/trajectools/releases/tag/v2.5

๐Ÿ™ 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

Release v0.21.3 ยท movingpandas/movingpandas

This is a minor release that fixes missing CRS information in ValueChangeSplitter results. What's Changed Ensure CRS of split is correct by @anitagraser in #456 Fix measure_length if conversion is...

GitHub

The quest for a fair TimeGPT benchmark

At the end of yesterday's #TimeGPT for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...

http://anitagraser.com/2025/03/29/the-quest-for-a-fair-timegpt-benchmark/

#GeoAI #MobilityDataScience #FoundationModels #GISChat

The quest for a fair TimeGPT benchmark

At the end of yesterdayโ€™s TimeGPT for mobility post, we concluded that TimeGPTโ€™s trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we wโ€ฆ

Free and Open Source GIS Ramblings

#TimeGPT for #mobility: Can foundation models outperform classic machine learning models for flow predictions?

tldr; Maybe. Preliminary results certainly are impressive.

http://anitagraser.com/2025/03/28/can-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/

#MobilityDataScience #gischat #urbanmobility #geoai #foundationmodels

Can foundation models outperform classic machine learning models for mobility predictions?

tldr; Maybe. Preliminary results certainly are impressive. Introduction Crowd and flow predictions have been very popular topics in mobility data science. Traditional forecasting methods rely on clโ€ฆ

Free and Open Source GIS Ramblings