Associate Professor, University of Utah
We propose a new correlation task-specific visual design called Correlation Coordinate Plots (CCPs). CCPs transform data into a powerful coordinate system for estimating the direction and strength of correlation. To extend the functionality of this approach to multiple attribute datasets, we propose the Snowflake Visualization, a focus+context layout for exploring all pairwise correlations.
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We propose a new correlation task-specific visualization method called Correlation Coordinate Plots (CCPs). CCPs transform data into a powerful coordinate system for estimating the direction and strength of correlation. To support multiple attributes, we propose the Snowflake Visualization, a focus+context layout for exploring all pairwise correlations.
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In this paper, artifacts from using Central Difference Method for gradient calculation in volume rendering are studied.
Continue readingWe introduce Klareco, a visualization architecture that foregoes the ETL process allowing quick access to multiple data sources. The architecture uses an indexing engine for accessing data with multiple schema, microservices to analyze data, and visualizations to explore the data.
Continue readingWe propose a novel simplification scheme derived from the recently introduced topological notion of robustness which enables the pruning of sets of critical points according to a quantitative measure of their stability, that is, the minimum amount of vector field perturbation required to remove them.
Continue readingIn this paper, we propose a novel simplification scheme derived from the recently introduced topological notion of robustness, which provides a complementary view on flow structure compared to the traditional topological-skeleton-based approaches. Robustness enables the pruning of sets of critical points according to a quantitative measure of their stability, that is, the minimum amount of vector field perturbation required to remove them. This leads to a hierarchical simplification scheme that encodes flow magnitude in its perturbation metric.
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The flexible pinhole camera allows flexible modulation of the sampling rate over the field of viewand provides inexpensive 3D projection that allows rendering complex datasets quickly. The resulting image, a coherent nonuniform sampling of the dataset that matches the local variation of the dataset’s importance, has been successfully implemented for remote visualization, focus-plus-context visualization, and acceleration of expensive rendering effects such as specular reflection.
Continue readingIn this paper, we present a network activity visualization using
a novel aggregation glyph called the clyph, which intuitively combines spatial,
temporal, and quantity data about multiple network events.
This paper derives expressions for the arc length and the bending energy of quadratic Bezier curves.
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Quantification and visualization of uncertainty in cardiac forward and inverse problems with complex geometries is subject to various challenges. In order to overcome these limitations in uncertainty visualization, we have developed and implemented a collection of novel approaches.
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