Hue-Saturation-Intensity (HSI ) 颜色模型,一个心理上地呼吁的颜色模型,被采用设想相对预言错误在仙子城市的北京基于表层土的 pH 的空间预言的盒子代表的不确定性。一个二维的传说被设计伴随可视化—为设想预测值的垂直的轴(色彩) 和为设想预言错误的水平轴(白色) 。而且,设想不确定性的不同方法简短在这篇论文被考察。这案例研究显示了不确定性提供了可能性提高数据不确定性的视觉探索并且比较不同预言方法的预言或完全不同的变量的预言的那可视化。可视化地图的带白色的区域能简单地作为不能令人满意的预言结果被解释,在的地方可以为更好的预言需要另外的样品或更合适的预言模型结果。
Hue-Saturation-Intensity (HSI) color model, a psychologically appealing color model, was employed to visualize uncertainty represented by relative prediction error based on the case of spatial prediction of pH of topsoil in the peri-urban Beijing. A two-dimensional legend was designed to accompany the visualization-vertical axis (hues) for visualizing the predicted values and horizontal axis (whiteness) for visualizing the prediction error. Moreover, different ways of visualizing uncertainty were briefly reviewed in this paper. This case study indicated that visualization of both predictions and prediction uncertainty offered a possibility to enhance visual exploration of the data uncertainty and to compare different prediction methods or predictions of totally different variables. The whitish region of the visualization map can be simply interpreted as unsatisfactory prediction results, where may need additional samples or more suitable prediction models for a better prediction results.