{"title":"Volume rendering for relational data","authors":"Barry G. Becker","doi":"10.1109/INFVIS.1997.636791","DOIUrl":null,"url":null,"abstract":"A method for efficiently volume rendering dense scatterplots of relational data is described. Plotting difficulties that arise from large numbers of data points, categorical variables, interaction with non-axis dimensions, and unknown values, are addressed by this method. The domain of the plot is voxelized using binning and then volume rendering. Since a table is used as the underlying data structure, no storage is wasted on regions with no data. The opacity of each voxel is a function of the number of data points in a corresponding bin. A voxel's color is derived by averaging the value of one of the variables for all the data points that fall in a bin. Other variables in the data may be mapped to external query sliders. A dragger object permits a user to select regions inside the volume.","PeriodicalId":199226,"journal":{"name":"Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.1997.636791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 42

Abstract

A method for efficiently volume rendering dense scatterplots of relational data is described. Plotting difficulties that arise from large numbers of data points, categorical variables, interaction with non-axis dimensions, and unknown values, are addressed by this method. The domain of the plot is voxelized using binning and then volume rendering. Since a table is used as the underlying data structure, no storage is wasted on regions with no data. The opacity of each voxel is a function of the number of data points in a corresponding bin. A voxel's color is derived by averaging the value of one of the variables for all the data points that fall in a bin. Other variables in the data may be mapped to external query sliders. A dragger object permits a user to select regions inside the volume.
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关系数据的体绘制
描述了一种高效体绘制关系数据密集散点图的方法。这种方法解决了由于大量数据点、分类变量、与非轴维度的相互作用和未知值而产生的绘图困难。使用分块和体绘制对绘图域进行体素化。由于使用表作为底层数据结构,因此不会在没有数据的区域上浪费存储空间。每个体素的不透明度是相应bin中数据点数量的函数。体素的颜色是通过对所有数据点的一个变量的平均值得出的。数据中的其他变量可以映射到外部查询滑块。滑动块对象允许用户在卷内选择区域。
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