#trajectorydata — Public Fediverse posts

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

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

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

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

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

Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas :

Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopterability success 🎉

https://github.com/movingpandas/movingpandas/blob/main/tutorials/8-ogc-moving-features.ipynb

#MovementDataAnalytics #MobilityDataManagement #TrajectoryData #MFJSON

Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas :

Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopterability success 🎉

https://github.com/movingpandas/movingpandas/blob/main/tutorials/8-ogc-moving-features.ipynb

#MovementDataAnalytics #MobilityDataManagement #TrajectoryData #MFJSON

Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas :

Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopterability success 🎉

https://github.com/movingpandas/movingpandas/blob/main/tutorials/8-ogc-moving-features.ipynb

#MovementDataAnalytics #MobilityDataManagement #TrajectoryData #MFJSON

Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas :

Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopterability success 🎉

https://github.com/movingpandas/movingpandas/blob/main/tutorials/8-ogc-moving-features.ipynb

#MovementDataAnalytics #MobilityDataManagement #TrajectoryData #MFJSON

Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas :

Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopterability success 🎉

https://github.com/movingpandas/movingpandas/blob/main/tutorials/8-ogc-moving-features.ipynb

#MovementDataAnalytics #MobilityDataManagement #TrajectoryData #MFJSON

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

More #transportation research using #MovingPandas 🤩

Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"

https://www.sciencedirect.com/science/article/pii/S2352146524000814

Just found another new preprint / review on this topic:

#DeepLearning for #TrajectoryData Management and Mining: A Survey and Beyond

https://arxiv.org/pdf/2403.14151.pdf

@movingpandas mentioned 👍

#MovementDataScience #mobilitydatascience #gischat #giscience #mobility #geoai

Just found another new preprint / review on this topic:

#DeepLearning for #TrajectoryData Management and Mining: A Survey and Beyond

https://arxiv.org/pdf/2403.14151.pdf

@movingpandas mentioned 👍

#MovementDataScience #mobilitydatascience #gischat #giscience #mobility #geoai

Just found another new preprint / review on this topic:

#DeepLearning for #TrajectoryData Management and Mining: A Survey and Beyond

https://arxiv.org/pdf/2403.14151.pdf

@movingpandas mentioned 👍

#MovementDataScience #mobilitydatascience #gischat #giscience #mobility #geoai

Just found another new preprint / review on this topic:

#DeepLearning for #TrajectoryData Management and Mining: A Survey and Beyond

https://arxiv.org/pdf/2403.14151.pdf

@movingpandas mentioned 👍

#MovementDataScience #mobilitydatascience #gischat #giscience #mobility #geoai

Just found another new preprint / review on this topic:

#DeepLearning for #TrajectoryData Management and Mining: A Survey and Beyond

https://arxiv.org/pdf/2403.14151.pdf

@movingpandas mentioned 👍

#MovementDataScience #mobilitydatascience #gischat #giscience #mobility #geoai

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