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Using Multimedia Animation with Real-time Graphic



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Using Multimedia Animation with Real time Graphic Overlays for Visualizing a Million Cases of Multivariate Data Dianne Cook Statistics Iowa State University Ames IA Leslie Miller Computer Science Iowa State university Ames IA Manuel Suarez Statistics Iowa State University Ames IA Peter Sutherland Affymetrix CA Jing Zhang Computer Science Iowa State University Ames IA Abstract This paper discusses using preprocessing of multivariate data into projections converted to images and movies to provide graphical displays for large quantities of data The views are augmented with interaction so that the user can paint areas and have small subsets of the full data set overlaid as real time graphics Looking up the full data set is achieved by an indexing of the projections that is created in the data pre processing An application of the methods on multivariate spatio temporal data seasonal metric data from the United States Geological Survey is discussed 1 Introduction Large spatio temporal data sets are being compiled to study global climate and environmental conditions across the globe A lot of data is being collected with the support of the United States government and consequently it is being made available to the general public See for example http www pmel noaa gov tao http www usgs gov pubprod or http www ucar edu fac data data resources html One of the hurdles to using existing graphics tools on this data is the size For real time visualization large data presents some challenges 1 the views need to be created rapidly enough to be displayed in fractions of a second especially for dynamic graphics 2 a user needs to be able to interact with the views and have the response occur in fractions of a second 3 the screen real estate is limited and with large data many cases could map to the same pixel 1 4 some common case reduction methods for multivariate real valued data while sufficient for mean and variance analysis are inadequate for visualization where the task is to find



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