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Representing Flow Patterns by Using Streamlines with Glyphs

机译:通过使用带有字形的流线来表示流模式

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Most professional wind visualizations show wind speed and direction using a glyph called a wind barb in a grid pattern. Research into flow visualization has suggested that streamlines better represent flow patterns but these methods lack a key property—unlike the wind barb, they do not accurately convey the wind speed. With the goal of improving the perception of wind patterns, and at least equaling the quantitative quality of wind barbs, we designed two variations on the wind barb and designed a new quantitative glyph. All of our new designs space glyph elements along equally spaced streamlines. To evaluate these designs, we used a North American mesoscale forecast model. We tested the ability of subjects to determine direction and speed using two different densities each of three new designs as well as the classic wind barb. A second experiment evaluated how effectively each of the designs represented wind patterns. The results showed that the new design is superior to the classic, but they also showed that the classic barb can be redesigned and substantially improved. We suggest that flow patterns with integrated glyphs may have widespread application in flow visualization.
机译:大多数专业的风力可视化技术都使用一种称为风钩的字形以网格模式显示风速和风向。对流可视化的研究表明,流线可以更好地表示流型,但是这些方法缺乏关键特性-与风钩不同,它们不能准确传达风速。为了改善对风型的感知并至少等于风钩的定量质量,我们在风钩上设计了两个变体并设计了一个新的定量字形。我们所有的新设计均沿等间距的流线排列字形元素。为了评估这些设计,我们使用了北美的中尺度预报模型。我们使用三种新设计中的每一种以及经典的风钩来测试受试者使用两种不同密度确定方向和速度的能力。第二个实验评估了每个设计代表风模式的效率。结果表明,新设计优于经典设计,但也表明经典倒钩可以重新设计并得到实质性改进。我们建议带有集成字形的流模式可能在流可视化中具有广泛的应用。

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