Multi-scale banking to 45°
Multi-scale banking to 45°
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DOI：
10.1109/tvcg.2006.163
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发表时间：
2006-09-01
影响因子：
5.2
通讯作者：
Agrawala, Maneesh
中科院分区：
文献类型：
--
作者：
Heer, Jeffrey;Agrawala, Maneesh
William Cleveland在他的文本可视化数据中演示了折线图的纵横比如何影响分析师对数据趋势的感知。Cleveland提出了一种计算纵横比的优化技术，使得图表中线段的平均绝对方向等于45度。这种技术称为倾斜45度，旨在最大限度地提高图表中线段方向的可辨别性。在本文中，我们重新审视这个经典的结果，并描述两个新的扩展。首先，我们提出了替代优化标准，旨在进一步提高线段方向的视觉感知。其次，我们开发了多尺度倾斜，这是一种将光谱分析与倾斜结合到45度的技术。我们的技术自动识别各种频率尺度的趋势，然后为每个尺度生成一个银行图表。我们展示了我们的技术在一系列可视化工具和分析实例中的实用性。
In his text Visualizing Data, William Cleveland demonstrates how the aspect ratio of a line chart can affect an analyst's perception of trends in the data. Cleveland proposes an optimization technique for computing the aspect ratio such that the average absolute orientation of line segments in the chart is equal to 45 degrees. This technique, called banking to 45 degrees, is designed to maximize the discriminability of the orientations of the line segments in the chart. In this paper, we revisit this classic result and describe two new extensions. First, we propose alternate optimization criteria designed to further improve the visual perception of line segment orientations. Second, we develop multi-scale banking, a technique that combines spectral analysis with banking to 45 degrees. Our technique automatically identifies trends at various frequency scales and then generates a banked chart for each of these scales. We demonstrate the utility of our techniques in a range of visualization tools and analysis examples.