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    • College of Computer, Mathematical & Natural Sciences
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    Data Object and Label Placement For Information Abundant Visualizations

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    Date
    1998-12-08
    Author
    Li, Jia
    Plaisant, Catherine
    Shneiderman, Ben
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    Abstract
    Placing numerous data objects and their corresponding labels in limited screen space is a challenging problem in information visualization systems. Extending map-oriented techniques, this paper describes static placement algorithms and develops metrics (such as compactness and labeling rate) as a basis for comparison among these algorithms. A control panel facilitates user customization by showing the metrics for alternative algorithms. Dynamic placement techniques that go beyond map-oriented techniques demonstrate additional possibilities. User actions can lead to selective display of data objects and their labels.
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    http://hdl.handle.net/1903/490
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