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arXiv 1502.07792cs.HC
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可视化制图:目标和任务分类

Visualizing Cartograms: Goals and Task Taxonomy

Sabrina Nusrat, Stephen Kobourov

摘要:

地图是一种地图,其中地理区域(国家,州)的面积与某些感兴趣的变量(人口,收入)成比例。地图是地理参考数据的流行可视化,已经存在了一个多世纪。报纸、杂志、教科书、博客和演示文稿经常使用地图来显示投票结果、受欢迎程度以及一般的地理模式。尽管地图的普及和大量的地图变体,有很少的研究评估的有效性,地图在传达信息。为了将地图设计成一种有用的可视化工具,并能够比较不同方法生成的地图的有效性,我们需要研究所传达的信息的性质和可以在地图上执行的具体任务。在本文中,我们考虑一组地图可视化任务,从制图和信息可视化的标准分类的基础上。然后,我们提出了一个cartogram任务分类法,可用于组织不仅在这里考虑的任务,但也可能会被添加到以后的其他任务。

英文摘要:

Cartograms are maps in which areas of geographic regions (countries, states) appear in proportion to some variable of interest (population, income). Cartograms are popular visualizations for geo-referenced data that have been around for over a century. Newspapers, magazines, textbooks, blogs, and presentations frequently employ cartograms to show voting results, popularity, and in general, geographic patterns. Despite the popularity of cartograms and the large number of cartogram variants, there are very few studies evaluating the effectiveness of cartograms in conveying information. In order to design cartograms as a useful visualization tool and to be able to compare the effectiveness of cartograms generated by different methods, we need to study the nature of information conveyed and the specific tasks that can be performed on cartograms. In this paper we consider a set of cartogram visualization tasks, based on standard taxonomies from cartography and information visualization. We then propose a cartogram task taxonomy that can be used to organize not only the tasks considered here but also other tasks that might be added later.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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