Data stream visualization framework for Smart Cities

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

Felix.Villanueva@uclm.es

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Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

Ana.Rubio@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

David.Villa@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

MariaJose.Santofimia@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

JuanCarlos.Lopez@uclm.es

  • JOURNAL — Soft Computing

  • PAGES — 1671-1681

  • ISSN — 1432-7643

  • VOLUME 20

  • ISSUE 5

  • PUBLISHER Springer Berlin Heidelberg

  • YEAR  2016

Villanueva, F. J., Aguirre, C., Rubio, A., Villa, D., Santofimia, M. J., & López, J. C. (2016). Data stream visualization framework for smart citiesSoft Computing20(5), 1671-1681.

@article{villanueva2016data,
title={Data stream visualization framework for smart cities},
author={Villanueva, Felix Jes{\'u}s and Aguirre, Cesar and Rubio, A and Villa, David and Santofimia, Maria J and L{\'o}pez, Juan Carlos},
journal={Soft Computing},
volume={20},
number={5},
pages={1671--1681},
year={2016},
publisher={Springer}
}

Abstract

Monitoring smart cities is a key challenge due the variety of data streams generated from different process (traffic, human dynamics, pollution, energy supply, water supply, etc). All these streams show us what is happening and as to where and when in the city. The purpose of this paper was to apply different types of glyphs for showing real-time stream evolution of data gathered in the city. The use of glyphs is intended to make the most out of the human capacity for detecting visual patterns.

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