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Titolo:
Visualization exploration and encapsulation via a spreadsheet-like interface
Autore:
Jankun-Kelly, TJ; Ma, KL;
Indirizzi:
Univ Calif Davis, Dept Comp Sci, Ctr Image Proc & Integrated Computing, Visualizat & Graph Res Grp, Davis, CA 95616 USA Univ Calif Davis Davis CA USA 95616 & Graph Res Grp, Davis, CA 95616 USA
Titolo Testata:
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
fascicolo: 3, volume: 7, anno: 2001,
pagine: 275 - 287
SICI:
1077-2626(200107/09)7:3<275:VEAEVA>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
INFORMATION VISUALIZATION;
Keywords:
spreadsheets; user interfaces; knowledge representation; scientific visualization; visualization systems; collaboration;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Jankun-Kelly, TJ Univ Calif Davis, Dept Comp Sci, Ctr Image Proc & Integrated Computing, Visualizat & Graph Res Grp, Davis, CA 95616 USA Univ Calif Davis Davis CA USA 95616 Davis, CA 95616 USA
Citazione:
T.J. Jankun-Kelly e K.L. Ma, "Visualization exploration and encapsulation via a spreadsheet-like interface", IEEE VIS C, 7(3), 2001, pp. 275-287

Abstract

Exploring complex, very large data sets requires interfaces to present andnavigate 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 spaceis presented to the user in a manner that clearly identifies which parameters correspond to which visualized result. Operations defined on this spacecan 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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Documento generato il 27/01/20 alle ore 07:17:46