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Issue No. 05 - Sep./Oct. (2018 vol. 38)
ISSN: 0272-1716
pp: 26-35
Harish Doraiswamy , New York University
Juliana Freire , New York University
Marcos Lage , Universidade Federal Fluminense
Fabio Miranda , New York University
Claudio Silva , New York University
Visual analytics systems can greatly help in the analysis of urban data allowing domain experts from academia and city governments to better understand cities, and thus enable better operations, informed planning and policies. Effectively designing these systems is challenging and requires bringing together methods from different domains. In this paper, we discuss the challenges involved in designing a visual analytics system to interactively explore large spatio-temporal data sets and give an overview of our research that combines visualization and data management to tackle these challenges.
data visualisation,

H. Doraiswamy, J. Freire, M. Lage, F. Miranda and C. Silva, "Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective," in IEEE Computer Graphics and Applications, vol. 38, no. 5, pp. 26-35, 2018.
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