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Posts tagged #MobilityDataScience

RE: https://mastodon.social/@xlth/116144192667591833

Not the ideal conditions for geospatial applications of VLMs πŸ˜…

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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Original post on fosstodon.org

The #MobilityDB team just announced v1.3.0-alpha featuring

New temporal types:
πŸ†• tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
πŸ†• temporal circular buffer (tcbuffer)
πŸ†• temporal pose (tpose) type, storing the evolution of a pose […]

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

09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale fΓΌr den ΓΆffentlichen Verkehr

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🀩 #MobilityDataAnalytics & #GIScience all around:

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

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Original post on fosstodon.org

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

The latest releases of MovingPandas and Trajectools come with many "under the hood" changes that aim to make your movement analytics faster: Instead of immediately creating a GeoPandas GeoDataFrame and populating the […]

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And here's @martinfleis et al.'s new street network generalization tool:

https://uscuni.org/neatnet/

https://arxiv.org/abs/2504.16198

#giscience #gischat #mobility #mobilitydatascience

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

πŸ’― it's surprisingly hard to count intersections

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

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Christian Werner (@just_mobility@mastodon.online) 13 Posts, 96 Following, 92 Followers Β· Researcher in #geoinformatics and #mobility for #mobilitylab at the Department of Geoinformatics, University of Salzburg | #cycling #publictransport #sustainability #UrbanResearch #GIScience #geospatial #sustainablemobility

@gicycle @just_mobility

Direct links for convenience ...

πŸ“° Paper: https://www.mdpi.com/2071-1050/17/8/3634

:github: Code: github.com/plus-mobilitylab/netasco...

#Walkability #HumanMobility #MobilityDataScience #GIScience #GISchat #OSM

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Original post on fosstodon.org

πŸ₯³ New versions of @movingpandas and #Trajectools have just landed:

#MovingPandas 0.21.3 github.com/movingpandas/movingpanda...

:qgis: Trajectools 2.5 codeberg.org/movingpandas/trajectools...

πŸ™ Please update your MovingPandas install to get all […]

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Original post on fosstodon.org

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. Naturally, it's hard to find […]

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Original post on fosstodon.org

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 classic […]

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LuΓ­s de Sousa (@luis_de_sousa@mastodon.social) #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 #MobilityData #Mobility #UrbanData #GeoScience

Only one more week to submit to ACM TSAS special issue on Urban Mobility dl.acm.org/pb-assets/static_journal...

HT mastodon.social/@luis_de_sousa/113946946...

#MobilityDataScience #MovingPandas

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GitHub - movingpandas/mobiml Contribute to movingpandas/mobiml development by creating an account on GitHub.

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

#MobilityDataScience #movingpandas #bmda2025

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Original post on fosstodon.org

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 […]

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Original post on fosstodon.org

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 […]

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Original post on fosstodon.org

The EMERALDS project @emeraldseu is hosting an MLOps webinar "EMERALDS Data Infrastructure and Development Frameworks” on 21 February, at 11:30 CET, see emeralds-horizon.eu/events/emeralds-webinar-...

The talks explore the design and […]

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Technical Assistant (m/f/d) | Moveapps Help maintain and improve existing apps, create new apps, help maintaining the user manual up to date, support other developers if they encounter issues when developing their apps

#Moveapps is looking for a Technical Assistant (m/f/d) proficient in R and/or Python to improve their #MovementDataAnalytics plattform

www.mpg.de/24092603/technical-assis...

#MobilityDataScience #MovementEcology

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Releases Β· movingpandas/movingpandas Movement trajectory classes and functions built on top of GeoPandas - movingpandas/movingpandas

I've had smoother releases πŸ™ƒ

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 πŸ†™

#MovementDataAnalytics #MobilityDataScience

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Updated my collection of open source projects in the #MobilityDataScience / #MovementDataAnalytics with new findings from #SDSL2024

https://github.com/anitagraser/movement-analysis-tools

Any more suggestions welcome

#GISChat #DataScience #SpatialDataScience

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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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