Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

Article Details
Title:	Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane
Article URLs:	https://doi.org/10.1145/3183713.3193559
Alternative Article URLs:	http://www.vldb.org/pvldb/vol11/p352-zacharatou.pdf
Authors:	Harish Doraiswamy	New York University
	Eleni Tzirita Zacharatou	EPFL
	Fabio Miranda	New York University
	Marcos Lage	Fluminense Federal University
	Anastasia Ailamaki	EPFL
	Cláudio T. Silva	New York University
	Juliana Freire	New York University
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/VIDA-NYU/raster-join
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1229185, 1533564, 1544753, 1730396, 1640864
DBLP Key:	conf/sigmod/DoraiswamyZMLAS18
Author Comments:	This SIGMOD demo uses RasterJoin, a new approach to computing spatial aggregation that leverages the graphics pipeline in graphics hardware (GPU) to attain interactive response times. Details about RasterJoin were published at pVLDB.

ACM International Conference on Management of Data, SIGMOD 2018