Uber has released an open source tool called Kepler.gl that allows users to create visualizations from geolocation datasets. The tool can visualize millions of data points, and users can explore the relationships and representations of their data in both 2D and 3D renderings. To help users begin using the tool, Uber has published examples of how to visualize the population density of neighborhoods in New York City, how to depict elevation contours in San Francisco, and how to map the commutes of residents in England.
Using Geospatial Data to Create Maps
Michael McLaughlin is a research assistant at the Center for Data Innovation. He previously worked at Oracle and held internships at USA TODAY and in local government. Prior to joining the Center for Data Innovation, Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He is currently pursuing his Master’s in Communication at Stanford University, specializing in Data Journalism.
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