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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Computer Graphi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Computer Graphics and Applications
Article . 2007 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2018
Data sources: DBLP
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Attribute Blocks: Visualizing Multiple Continuously Defined Attributes

Authors: James R. Miller;

Attribute Blocks: Visualizing Multiple Continuously Defined Attributes

Abstract

Visualization of multiple attributes across a region is a complex problem for which several experimental tools have been developed. In some cases, the attributes correspond to events occurring at discrete locations; in others, the data are phenomena that vary continuously across a region. In the discrete case, the focus is often on using maps for geospatial referencing. Attribute blocks are a technique for visualizing continuously varying attributes across a region, letting you quickly locate patterns in large data sets. Attribute blocks can be displayed in a flat 2D projection without needing constant 3D dynamic rotations. This article describes a new technique based on attribute blocks, a dynamically configurable array of lenses through which users can visualize specific attribute values at given locations throughout a region. Users can exploit this ability to dynamically adjust the array's configuration as well as the attribute blocks' size and origin in this new exploratory tool for discovering patterns of interest in multivariate data sets

Related Organizations
Keywords

User-Computer Interface, Computer Graphics, Computer Simulation, Signal Processing, Computer-Assisted, Models, Theoretical, Algorithms

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Top 10%
Average
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