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PubMed · 12109006

Multidimensional data visualization.

Matthew J Pastizzo·Robert F Erbacher·Laurie B Feldman
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Abstract

Historically, data visualization has been limited primarily to two dimensions (e.g., histograms or scatter plots). Available software packages (e.g., Data Desk 6.1, MatLab 6.1, SAS-JMP 4.04, SPSS 10.0) are capable of producing three-dimensional scatter plots with (varying degrees of) user interactivity. We constructed our own data visualization application with the Visualization Toolkit (Schroeder, Martin, & Lorensen, 1998) and Tcl/Tk to display multivariate data through the application of glyphs (Ware, 2000). A glyph is a visual object onto which many data parameters may be mapped, each with a different visual attribute (e.g., size or color). We used our Multi-Dimensional data Viewer to explore data from several psycholinguistic experiments. The graphical interface provides flexibility when users dynamically explore the multidimensional image rendered from raw experimental data. We highlight advantages of multidimensional data visualization and consider some potential limitations.

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Data DisplayData Interpretation, StatisticalInformation TheoryPsychology, ExperimentalSoftwareJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Matthew J Pastizzo, Robert F Erbacher, Laurie B Feldman. 2002. Multidimensional data visualization.. https://doi.org/10.3758/bf03195437

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