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Proceedings Paper

Reducing InfoVis cluttering through non uniform sampling, displacement, and user perception
Author(s): Enrico Bertini; Luigi Dell'Aquila; Giuseppe Santucci
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Paper Abstract

Clutter affects almost any kind of visual technique and can obscure the structure present in the data even in small datasets, making it hard for users to find patterns and reveal relationships. In this paper we present a general strategy to analyze and reduce clutter using a special kind of sampling, together with an ad-hoc displacement technique and perceptual issues collected through a user study. The method, defined for 2D scatter plots, is flexible enough to be used in quite different contexts. In particular, in this paper we prove its usefulness against scatter plot, radviz, and parallel coordinates visualizations.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6060, Visualization and Data Analysis 2006, 60600L (16 January 2006); doi: 10.1117/12.642748
Show Author Affiliations
Enrico Bertini, Univ. di Roma La Sapienza (Italy)
Luigi Dell'Aquila, Univ. di Roma La Sapienza (Italy)
Giuseppe Santucci, Univ. di Roma La Sapienza (Italy)

Published in SPIE Proceedings Vol. 6060:
Visualization and Data Analysis 2006
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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