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Enabling Automatic Clutter Reduction in Parallel Coordinate Plots

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Enabling Automatic Clutter Reduction in Parallel Coordinate Plots. / Ellis, G.; Dix, Alan.
In: IEEE Transactions on Visualization and Computer Graphics, 09.2006.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ellis, G & Dix, A 2006, 'Enabling Automatic Clutter Reduction in Parallel Coordinate Plots', IEEE Transactions on Visualization and Computer Graphics.

APA

Ellis, G., & Dix, A. (2006). Enabling Automatic Clutter Reduction in Parallel Coordinate Plots. IEEE Transactions on Visualization and Computer Graphics.

Vancouver

Ellis G, Dix A. Enabling Automatic Clutter Reduction in Parallel Coordinate Plots. IEEE Transactions on Visualization and Computer Graphics. 2006 Sept.

Author

Ellis, G. ; Dix, Alan. / Enabling Automatic Clutter Reduction in Parallel Coordinate Plots. In: IEEE Transactions on Visualization and Computer Graphics. 2006.

Bibtex

@article{c7571c521f4d4fc18e4c6b6a3affb0a3,
title = "Enabling Automatic Clutter Reduction in Parallel Coordinate Plots",
abstract = "We have previously shown that random sampling is an effective clutter reduction technique and that a sampling lens can facilitate focus+context viewing of particular regions. This demands an efficient method of estimating the overlap or occlusion of large numbers of intersecting lines in order to automatically adjust the sampling rate within the lens. This paper proposes several ways for measuring occlusion in parallel coordinate plots. An empirical study into the accuracy and efficiency of the occlusion measures show that a probabilistic approach combined with a {\textquoteleft}binning{\textquoteright} technique is very fast and yet approaches the accuracy of the more expensive {\textquoteleft}true{\textquoteright} complete measurement.",
keywords = "Sampling, random sampling, lens, clutter, occlusion, density reduction, overplotting, information visualisation, parallel coordinates. cs_eprint_id, 1302 cs_uid, 1",
author = "G. Ellis and Alan Dix",
year = "2006",
month = sep,
language = "English",
journal = "IEEE Transactions on Visualization and Computer Graphics",
issn = "1941-0506",
publisher = "IEEE Computer Society",

}

RIS

TY - JOUR

T1 - Enabling Automatic Clutter Reduction in Parallel Coordinate Plots

AU - Ellis, G.

AU - Dix, Alan

PY - 2006/9

Y1 - 2006/9

N2 - We have previously shown that random sampling is an effective clutter reduction technique and that a sampling lens can facilitate focus+context viewing of particular regions. This demands an efficient method of estimating the overlap or occlusion of large numbers of intersecting lines in order to automatically adjust the sampling rate within the lens. This paper proposes several ways for measuring occlusion in parallel coordinate plots. An empirical study into the accuracy and efficiency of the occlusion measures show that a probabilistic approach combined with a ‘binning’ technique is very fast and yet approaches the accuracy of the more expensive ‘true’ complete measurement.

AB - We have previously shown that random sampling is an effective clutter reduction technique and that a sampling lens can facilitate focus+context viewing of particular regions. This demands an efficient method of estimating the overlap or occlusion of large numbers of intersecting lines in order to automatically adjust the sampling rate within the lens. This paper proposes several ways for measuring occlusion in parallel coordinate plots. An empirical study into the accuracy and efficiency of the occlusion measures show that a probabilistic approach combined with a ‘binning’ technique is very fast and yet approaches the accuracy of the more expensive ‘true’ complete measurement.

KW - Sampling

KW - random sampling

KW - lens

KW - clutter

KW - occlusion

KW - density reduction

KW - overplotting

KW - information visualisation

KW - parallel coordinates. cs_eprint_id

KW - 1302 cs_uid

KW - 1

M3 - Journal article

JO - IEEE Transactions on Visualization and Computer Graphics

JF - IEEE Transactions on Visualization and Computer Graphics

SN - 1941-0506

ER -