The analysis of structured complex data, such as clustered graph based datasets, usually applies a variety of visual representation techniques and formats. The majority of currently available tools and approaches to exploratory visualization are built on integrated schemes for simultaneous displaying of multiple aspects of studying objects and processes. Usually, such schemes partition screen space that is composed of multiple views and adopt interaction patterns to focus on data-driven items. Widely known concepts as overview plus-detail and focus-plus-context are ambiguous in interpretation by means of technical terms. Therefore, their implementation by UI design practitioners need reviews and a classification of the basic approaches to visual composition of graphical representation modules. We propose a description of basic components of the view and focus and an overview of their multiple combinations.

翻译：结构化复杂数据（例如基于聚类的图形数据集）的分析通常应用多种可视化表示技术与格式。当前大多数用于探索性可视化的工具和方法都建立在集成方案上，以同步展示研究对象与过程的多个方面。此类方案通常划分由多个视图组成的屏幕空间，并采用交互模式来聚焦于数据驱动的项目。概览加细节和焦点加上下文等广为人知的概念，在通过技术术语进行解释时存在歧义。因此，UI设计实践者对其实现需要回顾并对图形表示模块的视觉组合基本方法进行分类。我们提出对视图与焦点的基本组件及其多种组合形式的描述与概述。