论文标题
笛卡尔坐标中的六角形垃圾箱的非均匀高斯模糊
Non-Uniform Gaussian Blur of Hexagonal Bins in Cartesian Coordinates
论文作者
论文摘要
在最近的散景图书馆的应用中，在科学文献中可视化化学实体的物理化学特性，我们发现自己面临着平滑笛卡尔坐标中六角形数据的任务。据我们所知，没有关于如何执行此操作的文件存在。这篇简短的论文展示了如何总的来说，特别是为散景而实现这一目标。我们用现实世界的示例说明了该方法，并讨论了在这些和类似应用中使用六角箱的一些潜在优势。
In a recent application of the Bokeh Python library for visualizing physico-chemical properties of chemical entities text-mined from the scientific literature, we found ourselves facing the task of smoothing hexagonally binned data in Cartesian coordinates. To the best of our knowledge, no documentation for how to do this exist in the public domain. This short paper shows how to accomplish this in general and for Bokeh in particular. We illustrate the method with a real-world example and discuss some potential advantages of using hexagonal bins in these and similar applications.
