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To produce the visuals, they used images captured from a cinematography app, on top of Kepler.gl. “We were extremely careful to use realistic data for our visualizations, to show what we think Uber Air can look like using our most current research,” Gervang says.
KEPLER BEST DATA VISUALIZATION TOOLS HOW TO
Titled “Scaling Uber Air,” it featured data visualizations to show everything the company knows about how people move around in cities and how to use that to model the future Uber air network. The second Uber Elevate summit featured a keynote by the head of aviation, Eric Allison, that would’ve fallen flat if not bolstered with stunning maps. Gervang works on one of the Valley’s most (ahem) pie-in-the-sky initiatives: an urban air transportation project dubbed Elevate. Catching air inside UberĬhris Gervang, software engineer at Uber, started playing around with Kepler.gl without alerting his data vis team colleagues to his tinkering. She set the stage for a recent standing-room-only meetup hosted by Mapbox for two case studies on what the tool can do and how you can get involved. This second #keplergl map shows the height of buldings in /8BSSy9Rogc Given its origins, it’s easy to see why Kepler excels at large-scale visualizations centering on geolocations. Built using the deck.gl WebGL data visualization framework, the ride-sharing company recently open-sourced the geospatial toolbox that can be used with QGIS, Carto and Mapbox Studio.
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She went on to construct Kepler.gl, a tool that helps make “beautiful maps in like 10 seconds” - without any coding. He, who dumped brick-and-mortar architecture studies for computational design, joined Uber as founding member of the data visualization team in 2014. Then I moved on to build tools to build maps and now I’m doing tools to do tools that build maps.” “When I started out, I was building maps. SAN FRANCISCO - Shan He may hold Silicon Valley’s most meta job.
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