Data stream visualization framework for Smart Cities
Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain
Felix.Villanueva@uclm.es
No disponemos de la información de contacto de este autor.
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
@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.
