Visualization of temporal relationships within coordinated views

Dudzic, Stephanie; Godwin, J. Alex; Kilgore, Ryan

doi:10.1109/vast.2010.5651617

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…The increasing complexity of the data sets that can be displayed thanks to the continuous advances in visualization technologies has led to the use of multiscale visualization methods in a myriad of different fields, ranging from rechargeable metal batteries [9] to molecular dynamics simulations [10,11] or geomorphology [12], to cite just a few. Apart from that, there have been different attempts to use coordinated linked views for providing users with a more complete way to gain insight into such complex data sets [13][14][15].…”

Section: Related Workmentioning

confidence: 99%

A Unified Framework for Neuroscience Morphological Data Visualization

et al. 2021

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The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.

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Section: Related Workmentioning

confidence: 99%

A Unified Framework for Neuroscience Morphological Data Visualization

et al. 2021

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“…Dudzic, etc [14] proposed the use of coordinated views to study the temporal relationships of the data sets. Weiwei, etc [9] proposed TextFlow to understand the evolving topics of text data sets.…”

Section: High-dimensional and Multivariate Data Visualizationmentioning

confidence: 99%

Vis4Heritage: Visual Analytics Approach on Grotto Wall Painting Degradations

Zhang

Kang

Da-jian

et al. 2013

IEEE Trans. Visual. Comput. Graphics

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For preserving the Grotto wall paintings and protecting these historic cultural icons from the damage and deterioration in nature environment, a visual analytics framework and a set of tools are proposed for the discovery of degradation patterns. In comparison with the traditional analysis methods that used restricted scales, our method provides users with multi-scale analytic support to study the problems on site, cave, wall and particular degradation area scales, through the application of multidimensional visualization techniques. Several case studies have been carried out using real-world wall painting data collected from a renowned World Heritage site, to verify the usability and effectiveness of the proposed method. User studies and expert reviews were also conducted through by domain experts ranging from scientists such as microenvironment researchers, archivists, geologists, chemists, to practitioners such as conservators, restorers and curators.

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Human‐Autonomy Collaboration and Coordination Toward Multi‐RPAMissions

2016

Remotely Piloted Aircraft Systems: A Human Systems Integration Perspective

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Visualization of temporal relationships within coordinated views

Cited by 4 publications

References 2 publications

A Unified Framework for Neuroscience Morphological Data Visualization

A Unified Framework for Neuroscience Morphological Data Visualization

Vis4Heritage: Visual Analytics Approach on Grotto Wall Painting Degradations

Human‐Autonomy Collaboration and Coordination Toward Multi‐RPAMissions

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