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Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

, , , , and . IEEE Transactions on Visualization and Computer Graphics, 19 (12): 2149--2158 (December 2013)
DOI: 10.1109/TVCG.2013.226

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Towards Provenance-Enabling ParaView., , , , and . IPAW, volume 5272 of Lecture Notes in Computer Science, page 120-127. Springer, (2008)Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City., , , , and . CoRR, (2021)Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips, , , , and . IEEE Transactions on Visualization and Computer Graphics, 19 (12): 2149--2158 (December 2013)VisTrails: Enabling Interactive Multiple-View Visualizations., , , , , , and . IEEE Visualization, page 135-142. IEEE Computer Society, (2005)Visualization and Analysis of Parallel Dataflow Execution with Smart Traces., , , , and . SIBGRAPI, page 165-172. IEEE Computer Society, (2014)VisTrails 2.2.4., , , , , , , , , and 8 other author(s). (May 2016)Inferring Unmet Human Mobility Demand with Multi-source Urban Data., , and . APWeb/WAIM Workshops, volume 10612 of Lecture Notes in Computer Science, page 118-127. Springer, (2017)Efficient spatial data partitioning for distributed kNN joins., and . J. Big Data, 9 (1): 77 (2022)Riding from Urban Data to Insight Using New York City Taxis., , , , , and . IEEE Data Eng. Bull., 37 (4): 43-55 (2014)Urban human mobility data mining: An overview., , , and . IEEE BigData, page 1911-1920. IEEE Computer Society, (2016)