Interactive visual exploration of spatio-temporal urban data sets using urbane

Harish Doraiswamy, Eleni Tzirita Zacharatou, Fabio Miranda, Marcos Lage, Anastasia Ailamaki, Cláudio T. Silva, Juliana Freire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The recent explosion in the number and size of spatio-temporal data sets from urban environments and social sensors creates new opportunities for data-driven approaches to understand and improve cities. Visual analytics systems like Urbane aim to empower domain experts to explore multiple data sets, at different time and space resolutions. Since these systems rely on computationallyintensive spatial aggregation queries that slice and summarize the data over different regions, an important challenge is how to attain interactivity. While traditional pre-aggregation approaches support interactive exploration, they are unsuitable in this setting because they do not support ad-hoc query constraints or polygons of arbitrary shapes. To address this limitation, we have recently proposed Raster Join, an approach that converts a spatial aggregation query into a set of drawing operations on a canvas and leverages the rendering pipeline of the graphics hardware (GPU). By doing so, Raster Join evaluates queries on the fly at interactive speeds on commodity laptops and desktops. In this demonstration, we showcase the efficiency of Raster Join by integrating it with Urbane and enabling interactivity. Demo visitors will interact with Urbane to filter and visualize several urban data sets over multiple resolutions.

Original languageEnglish (US)
Title of host publicationSIGMOD 2018 - Proceedings of the 2018 International Conference on Management of Data
EditorsGautam Das, Christopher Jermaine, Ahmed Eldawy, Philip Bernstein
PublisherAssociation for Computing Machinery
Pages1693-1696
Number of pages4
ISBN (Electronic)9781450317436
DOIs
StatePublished - May 27 2018
Event44th ACM SIGMOD International Conference on Management of Data, SIGMOD 2018 - Houston, United States
Duration: Jun 10 2018Jun 15 2018

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

Other44th ACM SIGMOD International Conference on Management of Data, SIGMOD 2018
CountryUnited States
CityHouston
Period6/10/186/15/18

ASJC Scopus subject areas

  • Software
  • Information Systems

Fingerprint Dive into the research topics of 'Interactive visual exploration of spatio-temporal urban data sets using urbane'. Together they form a unique fingerprint.

  • Cite this

    Doraiswamy, H., Zacharatou, E. T., Miranda, F., Lage, M., Ailamaki, A., Silva, C. T., & Freire, J. (2018). Interactive visual exploration of spatio-temporal urban data sets using urbane. In G. Das, C. Jermaine, A. Eldawy, & P. Bernstein (Eds.), SIGMOD 2018 - Proceedings of the 2018 International Conference on Management of Data (pp. 1693-1696). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3183713.3193559