论文标题

在线热图生成高和低重量

Online Heatmap Generation with Both High and Low Weights

论文作者

Liu, Yan Y., Allen-Dumas, Melissa

论文摘要

热图是一种常见的地理化方法,它可以插入并可视化地图表面上的一组点观测值。大多数在线Web映射库使用HTML5画布或WebGL实现了一通热图算法,以生成有效的热图生成。但是,这种实现采用了添加剂操作,可以在地图表面网格上累积点重量的渲染,这使得不适合需要突出显示低和高权重的可视化。我们介绍了\ textit {Hilomap},这是一种在线热图算法,该算法突出显示了具有低趋势和高趋势点的表面区域。介绍和评估了基于HTML5帆布的参考实现。

Heatmap is a common geovisualization method that interpolates and visualizes a set of point observations on a map surface. Most of online web mapping libraries implement a one-pass heatmap algorithm using HTML5 canvas or WebGL for efficient heatmap generation. However, such implementation applies additive operations that accumulate the rendering of point weights on the map surface grid, making it inappropriate for visualizations that require the highlighting of both low and high weights. We introduce \textit{hilomap}, an online heatmap algorithm that highlights surface areas where points with both low and high trends are located. An HTML5 Canvas-based reference implementation on OpenLayers is presented and evaluated.

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