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The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
Linear projections are one of the most common approaches to visualize high-dimensional data. Since the space of possible projections is large, existing systems usually select a small set of interesting projections by ranking ...
Visual Analysis of Spatial Variability and Global Correlations in Ensembles of Iso-Contours
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
For an ensemble of iso-contours in multi-dimensional scalar fields, we present new methods to a) visualize their dominant spatial patterns of variability, and b) to compute the conditional probability of the occurrence of ...
Source Inversion by Forward Integration in Inertial Flows
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
Inertial particles are finite-sized objects traveling with a certain velocity that differs from the underlying carrying flow, i.e., they are mass-dependent and subject to inertia. Their backward integration is in practice ...
Similarity Voting based Viewpoint Selection for Volumes
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
Previous viewpoint selection methods in volume visualization are generally based on some deterministic measures of viewpoint quality. However, they may not express the familiarity and aesthetic sense of users for features ...
There is More to Streamgraphs than Movies: Better Aesthetics via Ordering and Lassoing
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
Streamgraphs were popularized in 2008 when The New York Times used them to visualize box office revenues for 7500 movies over 21 years. The aesthetics of a streamgraph is affected by three components: the ordering of the ...
Time-Series Plots Integrated in Parallel-Coordinates Displays
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
We present a natural extension of two-dimensional parallel-coordinates plots for revealing relationships in time-dependent multi-attribute data by building on the idea that time can be considered as the third dimension. A ...