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| Showcase Of Data Visualization Techniques |
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posted by Editor on Tuesday December 11, @12:59PM
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This page was put together by the Pacific Northwest National Laboratory to showcase some interesting data visualization techniques. The lab has performed extensive research on data visualization as part of a program called SPIRE (Spatial Paradigm for Information Retrieval and Exploration), and has published numerous papers on the subject. Here are some of the approaches shown:
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Galaxies uses the image of stars in the night sky to represent a set of documents (see screenshot).
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ThemeView represents the topics or themes within a set of documents as a relief map of natural terrain, whereby "mountains" indicate dominant themes (see screenshot).
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ThemeRiver helps users identify time-related patterns, trends, and relationships across a large collection of documents (see screenshot).
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Topic Islands applies wavelet transforms to a custom digital signal constructed from words within a document which can be used to generate fuzzy document outlines, summarizing text by levels of detail and according to user interests (see screenshot).
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Hypercube allows an analyst to quickly locate information objects of particular interest in a predictable location, usually for more detailed analysis in another visualization tool (see screenshot).
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Cosmic Tumbleweed is a topic-based projection that creates 3-D vectors for the topics in the dataset (see screenshot
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Fractal Projection organizes and views information as fractal spaces (see screenshot).
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Starstruck represents each document as a planar starburst of topic rays (see screenshot).
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MediSense applies analogous visualization techniques to visualize high resolution temporal data (see screenshot).
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CATCH (Computer Aided Tracking and Characterization of Homicides) is a collection of tools that assist the crime analyst in the investigation process (see screenshot).
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Correlation Tool illustrates co-occurrence of various categories of information (see screenshot).
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WebTheme provides a new way to investigate and understand large volumes of textual information (see screenshot).
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Starlight integrates disparate, multiformat and multimedia information and data, and it then enables their concurrent analysis (see screenshot).
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Rainbows is a method for visually exploring multiple kinds of relationships among entities (see screenshot).
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Connex displays individual relationships among a collection of entities, such as documents or concepts within documents (see screenshot).
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OmniViz was developed for handling large volumes of information relevant to the scientific and business needs of the life and chemical sciences industries (see screenshot).
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