Workshop In 2 days
November
Thursday
18:00 2026 · Seattle time
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All My Hexes Live in Texas: Mapping Houston Traffic with PyDeck Join MaptimeSEA for a hands-on introduction to PyDeck, a Python library for creating interactive, high-performance geospatial visualizations!
In this tutorial, we'll explore a dataset containing Vehicle Miles Traveled (VMT) data for roads across Texas, focusing our analysis on Houston. Using PyDeck, we'll create interactive maps to visualize traffic patterns, identify heavily traveled corridors, and explore how vehicle travel varies across the city.
Along the way, we'll learn how to work with large geospatial datasets in Python, customize map styles, and create interactive visualizations that make complex transportation data easier to understand.
Thank you to The Taskar Center for Accessible Technology (TCAT) at the University of Washington for providing the meeting space for this Maptime session!
Agenda
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How to Prepare:
After the meeting We will head to a brewery close to the venue to talk about all things mapping and meet fellow GIS enthusiasts! Feel free to bring a map or two that you'd be willing to share-- we love to see them😊
Who Should Attend Whether you're a GIS professional, Python enthusiast, transportation nerd, or just curious about making cool maps, you're welcome! While some familiarity with Python would be helpful, no Python experience is required to complete this tutorial
Getting Here & Parking We will meet in the Anderson Seminar Room, #271 on the 2nd floor of Building CSE2, the Bill and Melinda Gates Center for Computer Science and Engineering on the University of Washington Campus. An easy waypoint to know you are at the right computer science building: look for Microsoft Cafe!
About the Instructor 👤Aaron Schechter is a data enthusiast who loves turning public datasets into engaging visualizations that reveal patterns in the world around us. His recent projects explore creative ways of mapping and storytelling with open data, combining technical curiosity with a passion for learning. When he’s not experimenting with new tools and techniques, Aaron shares his work through his website.
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University of Washington, 3800 E Stevens Way NE, Seattle, WA
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