Exploratory Visualization through Copy, Cut and Paste

Abstract

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.

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Citation

J. C. Roberts, R. T. Walker, L. Roberts, R. S. Laramee, and P. D. Ritsos, “Exploratory Visualization through Copy, Cut and Paste,” in Posters presented at the IEEE Conference on Visualization (VIS), November 9-14, Paris, France, 2014.

Bibtex

@inproceedings{Roberts-et-al-Poster-VIS2014,
  author = {Roberts, Jonathan C. and Walker, Rick T. and Roberts, Lukas and Laramee, Robert S. and Ritsos, Panagiotis D},
  title = {Exploratory Visualization through Copy, Cut and Paste},
  year = {2014},
  booktitle = {Posters presented at the IEEE Conference on Visualization (VIS), November 9-14, Paris, France},
  month = nov
}

Poster