#mobilitydatascience β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mobilitydatascience, aggregated by home.social.
-
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:
-
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:
-
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:
-
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:
-
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:
-
RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs π
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
-
RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs π
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
-
RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs π
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
-
RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs π
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
-
RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs π
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
-
The #MobilityDB team just announced v1.3.0-alpha featuring
New temporal types:
π tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
π temporal circular buffer (tcbuffer)
π 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
-
The #MobilityDB team just announced v1.3.0-alpha featuring
New temporal types:
π tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
π temporal circular buffer (tcbuffer)
π 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
-
The #MobilityDB team just announced v1.3.0-alpha featuring
New temporal types:
π tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
π temporal circular buffer (tcbuffer)
π 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
-
The #MobilityDB team just announced v1.3.0-alpha featuring
New temporal types:
π tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
π temporal circular buffer (tcbuffer)
π 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
-
The #MobilityDB team just announced v1.3.0-alpha featuring
New temporal types:
π tgeometry & tgeography that can represent the temporal evolution of any geometry type (polygon, multipoint, etc.)
π temporal circular buffer (tcbuffer)
π 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
-
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning π
09:00-10:15 Session 1A: WS: Mobility Data Science & KI β Potenziale fΓΌr den ΓΆffentlichen Verkehr
-
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning π
09:00-10:15 Session 1A: WS: Mobility Data Science & KI β Potenziale fΓΌr den ΓΆffentlichen Verkehr
-
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning π
09:00-10:15 Session 1A: WS: Mobility Data Science & KI β Potenziale fΓΌr den ΓΆffentlichen Verkehr
-
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning π
09:00-10:15 Session 1A: WS: Mobility Data Science & KI β Potenziale fΓΌr den ΓΆffentlichen Verkehr
-
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning π
09:00-10:15 Session 1A: WS: Mobility Data Science & KI β Potenziale fΓΌr den ΓΆffentlichen Verkehr
-
π€© #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 π
-
π€© #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 π
-
π€© #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 π
-
π€© #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 π
-
π€© #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 π
-
π New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks π
-
π New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks π
-
π New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks π
-
π New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks π
-
π New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks π
-
And here's @martinfleis et al.'s new street network generalization tool:
-
And here's @martinfleis et al.'s new street network generalization tool:
-
And here's @martinfleis et al.'s new street network generalization tool:
-
And here's @martinfleis et al.'s new street network generalization tool:
-
And here's @martinfleis et al.'s new street network generalization tool:
-
Another interesting new paper on street network analysis, HT @gboeing
π― it's surprisingly hard to count intersections
-
Another interesting new paper on street network analysis, HT @gboeing
π― it's surprisingly hard to count intersections
-
Another interesting new paper on street network analysis, HT @gboeing
π― it's surprisingly hard to count intersections
-
Another interesting new paper on street network analysis, HT @gboeing
π― it's surprisingly hard to count intersections
-
Another interesting new paper on street network analysis, HT @gboeing
π― it's surprisingly hard to count intersections
-
Direct links for convenience ...
π 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
-
Direct links for convenience ...
π 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
-
Direct links for convenience ...
π 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
-
Direct links for convenience ...
π 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
-
Direct links for convenience ...
π 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
-
π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #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
π 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
-
π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #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
π 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
-
π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #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
π 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
-
π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #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
π 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
-
π₯³ New versions of @movingpandas and #Trajectools have just landed:
π’ππ²π¦ #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
π 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/
-
The quest for a fair TimeGPTΒ 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/
-
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/
-
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/
-
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/