Orca: A Visualization Toolkit for High-Dimensional Data
Orca: A Visualization Toolkit for High-Dimensional Data
复制标题
Orca：高维数据可视化工具包
DOI：
10.1080/10618600.2000.10474896
复制
发表时间：
2000
影响因子：
2.4
通讯作者：
D. Cook
中科院分区：
文献类型：
--
作者：
P. Sutherland;A. Rossini;T. Lumley;N. Lewin‐Koh;J. Dickerson;Z. Cox;D. Cook
摘要本文描述了使用Java编程语言构建交互的、动态的链接数据视图。数据视图是为具有多变量组件的数据设计的。显示数据的方法来自于早期关于基于数据管道构建统计图形的研究，在该研究中，数据处理和图形呈现的不同方面在概念上被组织到管道的段中。该软件设计利用Java语言的面向对象特性来打通数据管道，使开发人员能够更好地控制他们的可视化应用程序。重要的是，为满足几个简单设计要求而编码的新型数据视图可以很容易地与现有管段集成。这允许跨所有(新的和现有的)视图类型访问复杂的链接和动态交互。管段可以从OMegahat或R等数据分析程序包中访问，从而提供了可视化和数值方法的紧密耦合。
Abstract This article describes constructing interactive and dynamic linked data views using the Java programming language. The data views are designed for data that have a multivariate component. The approach to displaying data comes from earlier research on building statistical graphics based on data pipelines, in which different aspects of data processing and graphical rendering are organized conceptually into segments of a pipeline. The software design takes advantage of the object-oriented nature of the Java language to open up the data pipeline, allowing developers to have greater control over their visualization applications. Importantly, new types of data views coded to adhere to a few simple design requirements can easily be integrated with existing pipe sections. This allows access to sophisticated linking and dynamic interaction across all (new and existing) view types. Pipe segments can be accessed from data analysis packages such as Omegahat or R, providing a tight coupling of visual and numerical methods.