In this article, we propose a new method of three-dimensional data plotting based on the use of mixed hue palettes, which makes it possible to distinguish simultaneously both huge and subtle changes in the value of the presented quantity at the same plot. This method called “braid plot” is based on the alternating use of multiple palettes of colors (a kind of interlacing), which greatly increases the sharpness of the graph and allows us to define areas of equal values more accurately than using traditional graphs with a single palette or contour plot. We present here an algorithm of preparing braid plot composed of any number of initial color sets. As a result of using this type of plot, it was possible to detect, e.g., weak perturbation effects or subtle oscillations of the spectral density function, which is very hard to observe using classical plots.

中文翻译：

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编织图——作为等高线图扩展的混合调色板绘图方法

在本文中，我们提出了一种基于使用混合色调调色板的三维数据绘图的新方法，这使得在同一绘图中同时区分呈现数量值的巨大和细微变化成为可能。这种称为“辫状图”的方法是基于交替使用多个调色板的颜色（一种交错），这大大增加了图形的清晰度，并允许我们比使用传统图形更准确地定义相等值的区域。单个调色板或等高线图。我们在这里提出了一种准备由任意数量的初始颜色集组成的编织图的算法。作为使用这种类型图的结果，可以检测例如弱扰动效应或谱密度函数的细微振荡，