Managing Spatial Selections With Contextual Snapshots

Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional...

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Bibliographic Details
Published in:Computer graphics forum Vol. 33; no. 8; pp. 132 - 144
Main Authors: Mindek, P., Gröller, M. E., Bruckner, S.
Format: Journal Article
Language:English
Published: England Blackwell Publishing Ltd 01.12.2014
BlackWell Publishing Ltd
Subjects:
Analysis
annotations
Computer graphics
Computer simulation
I.3.3 [Computer Graphics]: Picture/Image Generation-Viewing algorithms
I.3.3 [Computer Graphics]: Picture/Image Generation—Viewing algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques—Interaction techniques
I.3.6 [Computer Graphics]: Methodology and Techniques-Interaction techniques
Information
interaction
Interactive
Representations
Semantics
spatial selections
Studies
Visual
visual analytics
Visualization
interaction
visual analytics
annotations
spatial selections
I.3.3 [Computer Graphics]: Picture/Image Generation—Viewing algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques—Interaction techniques
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in‐place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well‐defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents and the display of anatomical data. Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in‐place investigation and comparison of multiple visual representations of data.
Bibliography:istex:69ABD2A0A80C8E2161B146208ADAFEF45F8BFBA4
ark:/67375/WNG-XDN6LR15-C
FWF - Austrian Research Fund - No. P21695
ArticleID:CGF12406
Video S1
Aktion OE/CZ - No. 64p11
U.S. National Science Foundation (NSF)
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ObjectType-Article-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12406