Data object and label placement for information abundant visualizations | Zendy

Jia Li | Zendy; Catherine Plaisant | Zendy; Ben Shneiderman | Zendy

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Data object and label placement for information abundant visualizations

Author(s) -

Jia Li,

Catherine Plaisant,

Ben Shneiderman

Publication year - 1998

Publication title -

digital repository at the university of maryland (university of maryland college park)

Language(s) - English

Resource type - Conference proceedings

ISBN - 1-58113-179-8

DOI - 10.1145/324332.324341

Subject(s) - computer science , object (grammar) , data visualization , information visualization , visualization , information retrieval , artificial intelligence

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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