Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective

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

Research output: Contribution to journalArticle

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 languageEnglish (US)
Article number8474495
Pages (from-to)26-35
Number of pages10
JournalIEEE Computer Graphics and Applications
Volume38
Issue number5
DOIs
StatePublished - 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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