Taxi! A Data Visualization of 10,000 Taxi Trips in Manhattan
“Taxi!” is a beautiful data visualization of 10,000 taxi trips occurring over the course of one day in Manhattan. The visualization was a collaboration between Tom McKeogh, Eliza Montgomery and Juan Francisco Saldarriaga.
Taxi! is an analytical model that maps the trip data for 10,000 taxi rides over the course of 24 hours. Geographic location data for the origin and destination of each ride is combined with waypoint data collected from the Google Maps API in order to generate a geographically accurate representation of the trip. We used data from taxi rides originating or ending in the neighborhoods of Lincoln center or Bryant Park. The visualization recreates a ‘breathing’ map of Manhattan based on the migration of vehicles across the city over a period of 24 hours, displaying periods of intensity, density and decreased activity.
via FlowingData & Digital Urban
E.D.W. Lynch
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