使用HTML5进行地理视觉分析和故事叙述

P. Lundblad, M. Jern
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引用次数: 13

摘要

大量且不断增加的多元、多源、时变和地理空间数字信息对分析人员来说是一个重大挑战。通常在时间紧迫的情况下,需要基于这些信息流进行分析和决策,这就需要高效、集成和交互式的可视化工具,帮助用户在可视化的大信息空间中探索、呈现、协作和交流。这种方法被封装在地理视觉分析的思想中,地理视觉分析是一个跨学科的领域,它通过高度交互的视觉界面和将复杂和动态数据的创造性可视化与讲故事相结合来促进分析推理。本文通过讲述公共统计随着时间的推移可能影响经济增长和福祉的故事,举例说明了协作测绘。发现是通过激发读者的好奇心,使他们想要了解更多,传达更深层次的意义,留下持久的印象。此外,用户可以互动地参与这一基于网络的进程,这对教育和传播公共统计数据很重要。通过使用各种人口统计数据,如医疗保健、环境、教育和经济指标,作者通过对生活方式的反思,帮助作者提高读者的视觉知识。集成快照可以在探索性数据分析过程中随时捕获,从而成为讲故事推理过程的重要组成部分。公众可以访问Geovisual Analytics应用程序,并在专家编写的故事的指导下自行探索统计数据关系。随着与使用多元时空统计数据相关的感知和认知科学的发展,本文对视觉叙事的兴趣日益浓厚,吸引公众参与新的体验。
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Geovisual Analytics and Storytelling Using HTML5
The large and ever-increasing amounts of multivariate, multi-source, time-varying and geospatial digital information represent a major challenge for the analyst. The need to analyze and make decisions based on these information streams, often in time-critical situations, demands efficient, integrated and interactive visualization tools that aid the user to explore, present, collaborate and communicate visually large information spaces. This approach has been encapsulated in the idea of Geovisual Analytics, an interdisciplinary field that facilitates analytical reasoning through highly interactive visual interfaces and creative visualization of complex and dynamic data integrated with storytelling. Collaborative mapping is exemplified in this paper through telling stories about public statistics development over time that could shape, for example, economic growth and well-being. Discoveries are made that leave lasting impressions by stimulating the readers' curiosity making them want to learn more and convey a deeper meaning. In addition, the user can interactively participate in this web-based process which is important to the education and dissemination of public statistics. The storytelling mechanism assists the author to improve a reader's visual knowledge through reflections such as how life is lived by using a variety of demographics, such as healthcare, environment, and educational and economic indicators. Integrated snapshots can be captured at any time during the explorative data analysis process and thus become an important component of a storytelling reasoning process. The public can access Geovisual Analytics applications and explore statistical data relations on their own guided by the stories prepared by the experts. With the associated science of perception and cognition in relation to the use of multivariate spatial-temporal statistical data, this article contributes to the growing interest in visual storytelling engaging the public with new experiences.
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