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A chorem-based approach for visually synthesizing complex phenomena

机译:基于视觉的综合现象的可视化方法

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摘要

When dealing with scenarios referring to complex issues, such as political, economic and demographic problems, the usage of visual metaphors represents a more effective approach in supporting users to locate facts and new patterns. In this paper, we describe a research project whose aim is to investigate a cartographic solution able to represent dynamics, movements and changes that underlie possible problems. The solution we propose is based on the chorem concept. It represents an immediate synthesis of data of interest, and provides expert users with both a global view of objects and phenomena, and an insight into a specific issue. Based on preliminary studies, we first provide a formal definition and classification of chorems in terms of structure and meaning, meant to homogenize chorem construction and usage. Then, a system to generate chorematic maps from available data sets is described and an XML-like language, named ChorML is specified, enabling system modules communication. In order to validate our approach, we exemplify the construction of a chorematic map, which depicts the most significant flows of migrating population in Italy in 2000. Such a synthesis may represent the starting point for further processing tasks aimed to derive spatial analysis data, as well as to support expert users in decision making.
机译:当处理涉及诸如政治,经济和人口问题等复杂问题的场景时,视觉隐喻的使用代表了一种更有效的方法来支持用户定位事实和新模式。在本文中,我们描述了一个研究项目,其目的是研究能够表示潜在问题背后的动态,运动和变化的制图解决方案。我们提出的解决方案基于差错概念。它代表了感兴趣数据的即时综合,并为专家用户提供了对象和现象的全局视图以及对特定问题的洞察力。在初步研究的基础上,我们首先根据结构和含义提供形式化的形式化定义和分类,旨在统一化形式化构建和用法。然后,描述了一种从可用数据集生成编排映射的系统,并指定了一种名为ChorML的类似XML的语言,从而实现了系统模块之间的通信。为了验证我们的方法,我们以编排地图为例,该地图描绘了2000年意大利最重要的移民人口流动。这种综合可能代表着进一步处理任务的起点,这些任务旨在获得空间分析数据,例如以及支持专家用户进行决策。

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