Exploratory Visualization through Copy, Cut and Paste
Research output: Contribution to conference › Paper › peer-review
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2014. Paper presented at In Posters, IEEE Conference on Information Visualisation, Paris, France.
Research output: Contribution to conference › Paper › peer-review
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TY - CONF
T1 - Exploratory Visualization through Copy, Cut and Paste
AU - Roberts, Jonathan C.
AU - Walker, Rick
AU - Roberts, Lukas
AU - Laramee, R.S.
AU - Ritsos, Panagiotis D.
PY - 2014
Y1 - 2014
N2 - Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views
AB - Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views
KW - Information visualisation
KW - copy, cut and paste
KW - Human Computer Interaction
KW - Zoomable Interface
KW - Parallel Coordinate Plot
KW - Oceanographers
KW - Multiple Coordinated Views
KW - Multiple Views
KW - Scientific Visualisation
KW - Visualisation
KW - Interaction
KW - Visual Analytics
M3 - Paper
T2 - In Posters, IEEE Conference on Information Visualisation
Y2 - 9 November 2014 through 14 November 2014
ER -