#mobilitydatascience — Public Fediverse posts

Do I have any followers here who used scikit-mobility's human mobility metrics?

Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

https://github.com/movingpandas/movingpandas/issues/496

#GIScience #MobilityDataScience #MovementDataAnalytics

Do I have any followers here who used scikit-mobility's human mobility metrics?

Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

https://github.com/movingpandas/movingpandas/issues/496

#GIScience #MobilityDataScience #MovementDataAnalytics

Do I have any followers here who used scikit-mobility's human mobility metrics?

Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

https://github.com/movingpandas/movingpandas/issues/496

#GIScience #MobilityDataScience #MovementDataAnalytics

Do I have any followers here who used scikit-mobility's human mobility metrics?

Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

https://github.com/movingpandas/movingpandas/issues/496

#GIScience #MobilityDataScience #MovementDataAnalytics

Do I have any followers here who used scikit-mobility's human mobility metrics?

Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

https://github.com/movingpandas/movingpandas/issues/496

#GIScience #MobilityDataScience #MovementDataAnalytics

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

Not the ideal conditions for geospatial applications of VLMs 😅

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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

Not the ideal conditions for geospatial applications of VLMs 😅

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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

Not the ideal conditions for geospatial applications of VLMs 😅

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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

Not the ideal conditions for geospatial applications of VLMs 😅

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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

Not the ideal conditions for geospatial applications of VLMs 😅

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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

New temporal types:
🆕 tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
🆕 temporal circular buffer (tcbuffer)
🆕 temporal pose (tpose) type, storing the evolution of a pose
(point position + orientation)

and more ...

https://github.com/MobilityDB/MobilityDB/releases/tag/v1.3.0-alpha

#MobilityDataScience #MovementData #GISChat #OSGeo

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

New temporal types:
🆕 tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
🆕 temporal circular buffer (tcbuffer)
🆕 temporal pose (tpose) type, storing the evolution of a pose
(point position + orientation)

and more ...

https://github.com/MobilityDB/MobilityDB/releases/tag/v1.3.0-alpha

#MobilityDataScience #MovementData #GISChat #OSGeo

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

New temporal types:
🆕 tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
🆕 temporal circular buffer (tcbuffer)
🆕 temporal pose (tpose) type, storing the evolution of a pose
(point position + orientation)

and more ...

https://github.com/MobilityDB/MobilityDB/releases/tag/v1.3.0-alpha

#MobilityDataScience #MovementData #GISChat #OSGeo

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

New temporal types:
🆕 tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
🆕 temporal circular buffer (tcbuffer)
🆕 temporal pose (tpose) type, storing the evolution of a pose
(point position + orientation)

and more ...

https://github.com/MobilityDB/MobilityDB/releases/tag/v1.3.0-alpha

#MobilityDataScience #MovementData #GISChat #OSGeo

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

New temporal types:
🆕 tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
🆕 temporal circular buffer (tcbuffer)
🆕 temporal pose (tpose) type, storing the evolution of a pose
(point position + orientation)

and more ...

https://github.com/MobilityDB/MobilityDB/releases/tag/v1.3.0-alpha

#MobilityDataScience #MovementData #GISChat #OSGeo

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

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

#AI4PT #MovementDataAnalytics

🤩 #MobilityDataAnalytics & #GIScience all around:

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

🎉 New @movingpandas 0.22 and #Trajectools 2.6 just landed

Over 50% runtime reduction for many #MovementDataAnalytics tasks 📉

http://anitagraser.com/2025/05/17/speed-up-your-analytics-with-the-new-movingpandas-0-22-and-trajectools-2-6/

#GISchat #Mobility #MobilityDataScience

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

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

💯 it's surprisingly hard to count intersections

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

#giscience #gischat #mobility #MobilityDataScience

@gicycle @just_mobility

Direct links for convenience ...

📄 Paper: https://www.mdpi.com/2071-1050/17/8/3634

:github: Code: https://github.com/plus-mobilitylab/netascore/tree/v0.9.0

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

🥳 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

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

#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

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

#MobilityDataScience #MovingPandas

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

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

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:

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience

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

The talks explore the design and implementation of a dedicated #MLOps platform built with specialised #mobility libraries and tools. This platform is tailored to support ML engineers in the development and deployment of machine learning models for real-world applications

#MobilityDataScience

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

https://www.mpg.de/24092603/technical-assistant-moveapps

#MobilityDataScience #MovementEcology

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

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:

https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas

#MixedIntegerProgramming #MovementDataAnalysis #MobilityDataAnalytics #MobilityDataScience #cycling #ActiveMobility #TrajectoryData

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

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

New #MovingPandas tutorial: taking #OGC #MovingFeatures full circle with MF-JSON

Read #MFJSON to TrajectoryCollection and write it out again in the standard MovingPoint JSON encoding

#MobileDataManagement #MobilityDataScience #MovementDataAnalytics

http://anitagraser.com/2024/07/08/new-movingpandas-tutorial-taking-ogc-moving-features-full-circle-with-mf-json/

New Trajectools 2.1 and MovingPandas 0.18 releases

Today marks the 2.1 release of #Trajectools for #QGIS. This release adds multiple new algorithms and improvements. Since some improvements involve upstream #MovingPandas functionality, I recommend to also update MovingPandas while you're at it.

http://anitagraser.com/2024/05/20/new-trajectools-2-1-and-movingpandas-0-18-releases/

#MovementDataAnalytics #MobilityDataScience #MovementDataInGIS #GISChat

😅 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

So glad our #Dagstuhl seminar paper on #MobilityDataScience is finally published and open access 🎉

Mobility Data Science: Perspectives and Challenges

https://doi.org/10.1145/3652158

Kudos to the leading author team for distilling all the inputs

#Mobility #MovementData #MobilityAnalytics

🎉 Our #QGIS #Trajectools demo has been accepted to the 24th #IEEE International Conference on Mobile Data Management @mdm

Looking forward to bringing #Opensource #MovementDataAnalytics to #MDM2024

#MobilityDataScience #MovingPandas #GISChat

Woa, just in time 😅

@movingpandas v0.18.0 just landed on pypi and conda-forge

For an overview of all new features and improvements, see
https://github.com/movingpandas/movingpandas/releases/tag/v0.18

Example notebooks will be updated later. Now it's time for #esc2024

#MobilityDataScience #MovementDataAnalytics #Mobility #GeoPandas #DataScience #GIScience #GISChat #OSGeo #MovementData #VisualAnalytics

The #QGIS #Trajectools toolbox continues to grow.

New in: stop detection and trajectory styling

I’m continuously testing the algorithms integrated so far to see if they work as GIS users would expect and can to ensure that they can be integrated in Processing model seamlessly.

https://anitagraser.com/2024/01/27/trajectools-update-stop-detection-trajectory-styling/

#QGISProcessing #MobilityAnalytics #AIS #MovementDataInGIS #MobilityDataScience #movingpandas

Did you know that @movingpandas also supports local image coordinates?

Currently working on a demo using #bicycle tracks extracted from #video footage 🚴🎥 published by @mszll

https://arxiv.org/abs/2211.01301

#openscience #MobilityAnalytics #MobilityDataScience #mobility #MovingPandas #TrafficFlow #planning #cycling #TrafficBehavior

A new @movingpandas #tutorial 👩‍💻 has just landed:

How to use Kaggle’s Taxi Trajectory Data in MovingPandas

https://anitagraser.com/2023/05/12/how-to-use-kaggles-taxi-trajectory-data-in-movingpandas/

#Kaggle #DataScience #MovingPandas #Howto #Python #mobilität #MobilityAnalytics #MovementData #MobilityDataScience

We've just merged a long-awaited feature: different distance, speed, and acceleration units support

https://github.com/movingpandas/movingpandas/pull/295

This should make working with the results much more user-friendly than the basic SI units we have provided so far

#MovementDataScience #datascience #MobilityDataScience #MobilityAnalytics

If you liked our last year's short paper on #DeepLearning from #TrajectoryData, you'll love our new #preprint even more:

📝 "MobilityDL: A Review of Deep Learning From Trajectory Data"
https://arxiv.org/abs/2402.00732

#MobilityDataScience #SpatialDataScience #MovementData #Mobility #MachineLearning #arxiv #GISChat #OpenScience

Also added some more #trajectory statistics to the default output: start and end time, duration, length, and average speed, ready for further analysis directly from the #QGISProcessing toolbox or in the #QGIS model designer

#MobilityData #Trajectools #MovementData #MobilityDataScience #MovingPandas #MovementDataInGIS

#Trajectools development version now features out-of-the-box Interpolated Line styling for trajectories 🌈

Additionally, we can now clip a trajectory layer by a polygon layer (as well as to an extent)

https://github.com/movingpandas/qgis-processing-trajectory/tree/main

#GISChat #MovementData #MobilityDataScience #QGIS #MovingPandas #QGISProcessing #MovementDataInGIS

#QGIS Interpolated Line styles are really growing on me. Very helpful to visualize #Trajectools results

I've been testing the #MovingPandas integration in the Model Designer, in combination with other #QGISProcessing toolbox algorithms
https://anitagraser.com/2024/01/12/trajectools-v2-in-the-works/

#GISChat #MovementData #MobilityDataScience #MovementDataInGIS

And so the #QGIS #Trajectools quest continues: Merging tools that logically belong together and applying default styles to better show the computed speed and direction values

Also switched to the @movingpandas logo as a plugin icon

https://github.com/movingpandas/qgis-processing-trajectory

#movingpandas #gischat #movementdata #mobilitydatascience #datascience #spatialdatascience