Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective

Harish Doraiswamy; Juliana Freire; Marcos Lage; Fabio Miranda; Claudio Silva

doi:10.1109/MCG.2018.053491728

Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective

Harish Doraiswamy, Juliana Freire, Marcos Lage, Fabio Miranda, Claudio Silva

Urban Initiative

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	8474495
Pages (from-to)	26-35
Number of pages	10
Journal	IEEE Computer Graphics and Applications
Volume	38
Issue number	5
DOIs	https://doi.org/10.1109/MCG.2018.053491728
State	Published - Sep 1 2018

Keywords

computer graphics
spatio-temporal data
urban data
visual analytics

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/MCG.2018.053491728

Cite this

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abstract = "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.",

keywords = "computer graphics, spatio-temporal data, urban data, visual analytics",

author = "Harish Doraiswamy and Juliana Freire and Marcos Lage and Fabio Miranda and Claudio Silva",

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AU - Freire, Juliana

AU - Lage, Marcos

AU - Miranda, Fabio

AU - Silva, Claudio

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N2 - 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.

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Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective

Abstract

Keywords

ASJC Scopus subject areas

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