EuroVisShort2015

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https://diglib.eg.org/handle/10.2312/12463

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Browsing EuroVisShort2015 by Subject "Graphical user interfaces (GUI)"

Now showing 1 - 4 of 4
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    Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization
    (The Eurographics Association, 2015) Jäckle, Dominik; Stoffel, Florian; Kwon, Bum Chul; Sacha, Dominik; Stoffel, Andreas; Keim, Daniel A.; E. Bertini and J. Kennedy and E. Puppo
    When exploring large spatial datasets, zooming and panning interactions often lead to the loss of contextual overview. Existing overview-plus-detail approaches allow users to view context while inspecting details, but they often suffer from distortion or overplotting. In this paper, we present an off-screen visualization method called Ambient Grids that strikes the balance between overview and details by preserving the contextual information as color grids within a designated space around the focal area. In addition, we describe methods to generate Ambient Grids for point data using data aggregation and projection. In a use case, we show the usefulness of our technique in exploring the VAST Challenge 2011 microblog dataset.
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    OceanPaths: Visualizing Multivariate Oceanography Data
    (The Eurographics Association, 2015) Nobre, Carolina; Lex, Alexander; E. Bertini and J. Kennedy and E. Puppo
    Geographical datasets are ubiquitous in oceanography. While map-based visualizations are useful for many different domains, they can suffer from cluttering and overplotting issues when used for multivariate data sets. As a result, spatial data exploration in oceanography has often been restricted to multiple maps showing various depths or time intervals. This lack of interactive exploration often hinders efforts to expose correlations between properties of oceanographic features, specifically currents. OceanPaths provides powerful interaction and exploration methods for spatial, multivariate oceanography datasets to remedy these situations. Fundamentally, our method allows users to define pathways, typically following currents, along which the variation of the high-dimensional data can be plotted efficiently. We present a case study conducted by domain experts to underscore the usefulness of OceanPaths in uncovering trends and correlations in oceanographic data sets.
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    PoPI: Glyph Designs for Collaborative Filtering on Interactive Tabletops
    (The Eurographics Association, 2015) Charleer, Sven; Klerkx, Joris; Duval, Erik; E. Bertini and J. Kennedy and E. Puppo
    Filtering data on a visualization can be a challenge when multiple people work on a shared visualization, for instance on an interactive tabletop. Visualizations can present data that satisfy the union of all user filters, or data lenses can provide individual views on parts of the data. To support per-user filters simultaneously across a shared visualization, we explore different glyph approaches that complement data points with per-user filter status information. Adding physical positions of users around the tabletop as an extra attribute to the glyph, we attempt to lower the cognitive load required to map filter statuses to corresponding participants. This work presents the design choices, briefly covers technical development, reports on the evaluation results and points out possibilities for future work.
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    Visual Techniques to Support Exploratory Analysis of Temporal Graph Data
    (The Eurographics Association, 2015) Kerracher, Natalie; Kennedy, Jessie; Chalmers, Kevin; Graham, Martin; E. Bertini and J. Kennedy and E. Puppo
    Recently, much research has focused on developing techniques for the visual representation of temporal graph data. This paper takes a wider look at the visual techniques involved in exploratory analysis of such data, considering the variety of sub tasks and contextual tasks required to understand change in a graph over time, and the visual techniques which are able to support these tasks. In so doing, we highlight a number of tasks which are less well supported by existing techniques, which could prove worthwhile avenues for future research.