Raw data includes separate shapes for each line in a path as shown at the top for the segment between 96 Street and Central Park North (110 Street) in New York City. While the KML files were geographically accurate, they included extra data that I couldn't exclude with a query so the SVG files generated from them were pretty rough and needed a lot of cleanup to prepare them for creating the final diagrams in Illustrator. Once KML files were exported from Overpass Turbo, I converted them to SVG files using GPS Visualizer. ![]() To use these, just copy and paste them into the sidebar on Overpass Turbo and click Run. I'm sure there are more efficient methods but this was my first real attempt at using queries to get specific data. Subway lines for every city were coded slightly differently so a different query had to be crafted for each one to get all the lines and stations. (I last used Overpass Turbo for my Interchange Choreography project, colorizing interchanges.)įor example, I used the query below to get the entire London Underground and its stations: Not every city has a data portal so I exported KML files from Overpass Turbo, a web-based tool for downloading data from OpenStreetMap. Some cities had KML files of their subways readily available from their data portal or transit site (see Chicago, New York City, San Francisco, and Washington, D.C.). ![]() Maps of major subways systems were broken down into individual segments between each stop evenly spaced out in a circle by hand. ![]() The result was time-consuming but very interesting.īetween Stations explores the hidden shapes of subway systems between each stop. After creating projects based on transit colors, stations, and lines, I figured it was time to create one based on the parts between the stations.
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