Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: a study based on loss of quality quantification
Year:2014
Research Areas
  • Information technology and adata processing,
  • Computer system,
  • Computer systems,
  • Dataprocessing
Information
Abstract
Most visualization techniques have traditionally used 2D, instead of 3D representations to visualize multidimensional and multivariate data. In this paper, a way to demonstrate the underlying superiority of 3D, with respect to 2D representations, is proposed. Speci?cally, it is based on the inevitable quality degradation produced when reducing the data dimensionality. The problem is tackled from two di erent approaches: a visual and an analytical approach. Firstly, a set of statistical tests (point classi?cation, distance perception and outlier identi?cation) using the 2D and 3D visualization are carried out on a group of 40 users. The results indicate that there is an improvement in the accuracy and e?ciency introduced by the inclusion of a third dimension, however these results do not allow to obtain de?nitive conclusions on the superiority of 3D. Therefore, in order to draw further conclusions, a deeper study based on an analytical approach is proposed. The aim is to quantify the real loss of quality produced when the data is visualized in 2D and 3D spaces, in relation to the original data dimensionality, to analyze the di erence between them. To achieve this, a recently proposed methodology [1] is used. The results obtained by the analytical approach reported that the loss of quality, reaches signi?cantly high values only when switching from 3D to 2D. The considerable quality degradation su ered in the 2D visualization strongly suggests the suitability of the third dimension to visualize data.
International
Si
JCR
Si
Title
Information Visualization
ISBN
1473-8716
Impact factor JCR
1
Impact info
Volume
Journal number
From page
0
To page
0
Month
SIN MES
Ranking
Participants
  • Autor: Antonio Gracia Berna (UPM)
  • Autor: Santiago González Tortosa (UPM)
  • Autor: Victor Robles Forcada (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Tatiana von Landesberger (Technische Universitat Darmstadt)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)