图形感知理论

图形感知理论

• 图形感知理论应用于图形方法，对信息可视化而言，是设计者可视化数据时，会在形状丶颜色丶位置等方面对数量信息进行编码，观看者对图形进行解码以了解这些信息。

When we (the designers) visualize data, we encode the quantitative information in shapes, color, position, etc. The viewers then have to decode that information. Cleveland and McGill studied what people are able to decode most accurately and ranked them in the following list.
1.Position along a common scale e.g. scatter plot
2.Position on identical but nonaligned scales e.g. multiple scatter plots
3.Length e.g. bar chart
4.Angle & Slope (tie) e.g. pie chart
5.Area e.g. bubbles
6.Volume, density, and color saturation (tie) e.g. heatmap
7.Color hue e.g. newsmap

颜色色相 → 7,
长度，例如条形图 → 3,
量大小丶密度丶及颜色饱合度 例如热点图 → 6,
角度 及 斜度，例如饼图 → 4,
沿着一个共同的尺度定位位置，例如散点图 → 1,
相同的尺度但不对齐的定位位置，例如多个散点图 → 2,
面积，例如气泡图 → 5

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