Print Email Facebook Twitter Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets Title Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets Author Blaas, J. Botha, C.P. Post, F.H. Faculty Electrical Engineering, Mathematics and Computer Science Department Mediamatics Date 2008-11-19 Abstract Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables. PCPs have been successfully applied to unstructured datasets up to a few millions of points. In this paper, we present techniques to enhance the usability of PCPs for the exploration of large, multi-timepoint volumetric data sets, containing tens of millions of points per timestep. The main difficulties that arise when applying PCPs to large numbers of data points are visual clutter and slow performance, making interactive exploration infeasible. Moreover, the spatial context of the volumetric data is usually lost. We describe techniques for preprocessing using data quantization and compression, and for fast GPU-based rendering of PCPs using joint density distributions for each pair of consecutive variables, resulting in a smooth, continuous visualization. Also, fast brushing techniques are proposed for interactive data selection in multiple linked views, including a 3D spatial volume view. These techniques have been successfully applied to three large data sets: Hurricane Isabel (Vis’04 contest), the ionization front instability data set (Vis’08 design contest), and data from a large-eddy simulation of cumulus clouds. With these data, we show how PCPs can be extended to successfully visualize and interactively explore multi-timepoint volumetric datasets with an order of magnitude more data points. Subject parallel coordinate plotstime-varyingmulti-fieldlinked related views To reference this document use: http://resolver.tudelft.nl/uuid:c5f8e2e3-682f-4a4e-b192-bd0e7c7da39e Publisher IEEE ISSN 1077-2626 Source IEEE Transactions on Visualization and Computer Graphics, 14 (6), 2008 Part of collection Institutional Repository Document type journal article Rights (c) Blaas, J. ; Botha, C.P. ; Post, F.H. ; IEEE Files PDF Blaas_2008.pdf 1.23 MB Close viewer /islandora/object/uuid:c5f8e2e3-682f-4a4e-b192-bd0e7c7da39e/datastream/OBJ/view