Data engineering for Mobility Data Science (with Python and DVC)

This summer, I had the honor to — once again — speak at the OpenGeoHub Summer School. This time, I wanted to challenge the students and myself by not just doing MovingPandas but by introducing both MovingPandas and DVC for Mobility Data Science.

I’ve previously written about DVC and how it may be used to track geoprocessing workflows with QGIS & DVC. In my summer school session, we go into details on how to use DVC to keep track of MovingPandas movement data analytics workflow.

Here is the recording of the session live stream and you can find the materials at https://github.com/movingpandas/movingpandas-examples/blob/opengeohub2023/README.md


This post is part of a series. Read more about movement data in GIS.

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