可视化地图:通过数据,可视化和叙述解释和探索复杂的主题
IEEE transactions on visualization and computer graphics
|September 20, 2024
概括
这项研究定义了可视化地图,基于Web的集合,用数据和视觉来解释复杂的主题. 它们独特地融合了探索,叙事和导航,为不同的受众服务.
科学领域:
- 信息可视化 信息可视化
- 人与计算机的交互
- 数字人文学科 数字人文学科
背景情况:
- 基于网络,数据驱动的倡议被称为"地图集"的扩散需要一个正式的理解.
- 这些倡议解决了复杂的当代问题,如气候变化,人工智能和文化发现.
研究的目的:
- 定义和分析可视化地图的新兴类型.
- 为这些图谱的设计,研究和撰写提供信息支持.
主要方法:
- 对33个可视化地图集进行了系统分析.
- 半结构面试与8个可视化地图的创造者.
主要成果:
- 视觉化地图集的定义是通过可视化和叙述进行数据探索的网页汇编.
- 在8个维度中识别8个设计模式.
- 分类为5个不同的可视化图谱类型.
- 对创作过程的洞察力.
结论:
- 可视化地图集独特地整合了探索性可视化,数据驱动的讲故事和结构化导航.
- 它们作为学习,沟通和发现各种受众知识水平的多功能工具.
- 对设计实践,伦理和现实世界的影响进行讨论对于未来的开发至关重要.
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