#MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025
#MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025
Analyzing #GTFS Realtime Data for #PublicTransport Insights
In today’s post, we are going to dive deep into how to analyze public transport data, using both schedule and real time information
http://anitagraser.com/2025/03/10/analyzing-gtfs-realtime-data-for-public-transport-insights/
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:
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:
@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
Getting ready for the next release of @movingpandas
Including support for @geopandas 1.0 and interactive #folium plots using explore()
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:
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
#Trajectory splitting in #QGIS by time and at stops using the development version of #Trajectools
New tutorial: Setting up a #graph database using #GTFS data & #Neo4J
http://anitagraser.com/2023/11/27/setting-up-a-graph-db-using-gtfs-data-neo4j/