Visualization Exploration and Encapsulation via a Spreadsheet-like Interface
IEEE Transactions on Visualization and Computer
Graphics, 7 (3), pp. 275–287, IEEE
Computer Science Press 2001.
Abstract
Exploring complex, very large data sets requires interfaces to present and
navigate through the visualization of the data. Two types of audience benefit
from such coherent organization and representation: first, the user of the
visualization system can examine and evaluate their data more efficiently;
second, collaborators or reviewers can quickly understand and extend the
visualization. The needs of these two groups are addressed by the
spreadsheet-like interface described here. The interface represents a
2-dimensional window into a multi-dimensional visualization parameter space.
Data is explored by navigating this space via the interface. The visualization
space is presented to the user in a manner that clearly identifies which
parameters correspond to which visualized result. Operations defined on this
space can be applied which generate new parameters or results. Combined with a
general purpose interpreter, these functions can be utilized to quickly extract
desired results. Finally, by encapsulating the visualization process, redundant
exploration is eliminated and collaboration is facilitated. The efficacy of
this novel interface is demonstrated through examples using a variety of data
sets in different domains.
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Copyright
Copyright 2001, IEEE
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BibTeX Citation
@article{Jankun-Kelly:2001:VEa,
Abstract = {Exploring complex, very large data sets requires
interfaces to present and navigate through the visualization of
the data. Two types of audience benefit from such coherent
organization and representation: First, the user of the
visualization system can examine and evaluate their data more
efficiently; second, collaborators or reviewers can quickly
understand and extend the visualization. The needs of these two
groups are addressed by the spreadsheet-like interface described
here. The interface represents a two-dimensional window into a
multidimensional visualization parameter space. Data is explored
by navigating this space via the interface. The visualization
space is presented to the user in a manner that clearly identifies
which parameters correspond to which visualized result. Operations
defined on this space can be applied which generate new parameters
or results. Combined with a general purpose interpreter, these
functions can be utilized to quickly extract desired results.
Finally, by encapsulating the visualization process, redundant
exploration is eliminated and collaboration is facilitated. The
efficacy of this novel interface is demonstrated through examples
using a variety of data sets in different domains.},
Author = {T.J. Jankun-Kelly and Kwan-Liu Ma},
Doi = {10.1109/2945.942695},
Issn = {1077-2626},
Journal = {IEEE Transactions on Visualization and Computer
Graphics},
Keywords = {spreadsheets, user interfaces, knowledge
representation, scientific visualization, visualization systems,
collaboration},
Month = {July/September},
Number = {3},
Pages = {275--287},
Title = {Visualization Exploration And Encapsulation Via A
Spreadsheet-Like Interface},
Url = {http://dx.doi.org/10.1109/2945.942695},
Volume = {7},
Year = {2001}}
Contact
Dr. T.J. Jankun-Kelly [tjk@cse.msstate.edu], Department of
Computer Science and Engineering, Mississippi State University.
