#movementdata — Public Fediverse posts

Excellent video tutorial on creating animated traces in #QGIS over on #reddit:

https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/

This is just a sneak peak of the results:

#GISChat #MovementDataAnalysis #MovementData #Mobility

Excellent video tutorial on creating animated traces in #QGIS over on #reddit:

https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/

This is just a sneak peak of the results:

#GISChat #MovementDataAnalysis #MovementData #Mobility

Excellent video tutorial on creating animated traces in #QGIS over on #reddit:

https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/

This is just a sneak peak of the results:

#GISChat #MovementDataAnalysis #MovementData #Mobility

Excellent video tutorial on creating animated traces in #QGIS over on #reddit:

https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/

This is just a sneak peak of the results:

#GISChat #MovementDataAnalysis #MovementData #Mobility

Excellent video tutorial on creating animated traces in #QGIS over on #reddit:

https://www.reddit.com/r/QGIS/comments/1rde0fm/comment/o7c29l7/

This is just a sneak peak of the results:

#GISChat #MovementDataAnalysis #MovementData #Mobility

Tracking with care: The ethics of using location tracking technology with people living with dementia

Imagine you’re 83 years old, living with dementia in a long-term care home. Lately, your caregivers keep asking…
#NewsBeep #News #Health #CA #Canada #Carestaff #Caregivers #familycaregivers #movementdata #residents #RTLS
https://www.newsbeep.com/ca/311063/

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

And most recently in #Geopraphy:

Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

And most recently in #Geopraphy:

Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

And most recently in #Geopraphy:

Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

And most recently in #Geopraphy:

Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

And most recently in #Geopraphy:

Van Deursen, J., Creany, N., Smith, B., Freimund, W., Avgar, T., & Monz, C. A. (2024). Recreation specialization: Resource selection functions as a predictive tool for #ProtectedArea #RecreationManagement. Applied Geography, 167, 103276. - "#GeoPandas and #MovingPandas packages in #Python were used to analyze the GPS data collected and calculate the thirteen spatio-temporal metrics"

https://www.sciencedirect.com/science/article/abs/pii/S014362282400081X

#GIScience #GISChat #MobilityAnalytics #MovementData

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

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

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

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

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

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

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

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

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

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

TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app

It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology

#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior

TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app

It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology

#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior

TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app

It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology

#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior

TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app

It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology

#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior

TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app

It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology

#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior

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

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

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

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

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

Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

If everything goes to plan, Trajectools will be at #MDM2024
@mdm

There are still a few days left to submit your own work and join us: https://mdm2024.github.io/calls.html

#QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

If everything goes to plan, Trajectools will be at #MDM2024
@mdm

There are still a few days left to submit your own work and join us: https://mdm2024.github.io/calls.html

#QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

If everything goes to plan, Trajectools will be at #MDM2024
@mdm

There are still a few days left to submit your own work and join us: https://mdm2024.github.io/calls.html

#QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

If everything goes to plan, Trajectools will be at #MDM2024
@mdm

There are still a few days left to submit your own work and join us: https://mdm2024.github.io/calls.html

#QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

Today, we've had our first successful #Trajectools mini workshop with colleagues from the EMERALDS project, working on #PublicTransport #TrajectoryAnalysis

If everything goes to plan, Trajectools will be at #MDM2024
@mdm

There are still a few days left to submit your own work and join us: https://mdm2024.github.io/calls.html

#QGIS #SpatialDataScience #MovementData #MobilityDataAnalytics #GISChat #EMERALDSeu #movingpandas #MovementDataInGIS

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

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

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

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

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

#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

#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

#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