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Contourmap: Contour Based Visualization Of Water Chemical Data

机译：Contourmap：基于轮廓的水化学数据可视化

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Figure 1A screenshot of Contourmap. The bar charts show the overall temporal view of chemical values. Each bar represents the maximum value for one chemical per year/month/day. The spatiotemporal patterns of chemicals can be quickly spotted and compared from the contour map view. we used different color encode different years. The contour lines were created based on inverse distance weighting algorithm. All points along the same contour line are at the same value.This paper introduces a novel visual analytics tool to analyze water contamination data. Bar charts and contour maps are used to inspect the data on an aggregate level. In order to identify both spatial and temporal patterns across all areas, we created a series of contour maps and used isolines to aggregate the readings. We also encoded the contours with color such that newer data were on the warmer spectrum (red/orange) and the older data were on the cooler spectrum (blue/green). Through panning, selecting, brushing, and filtering time scale, the user is able to identify patterns of interest in the data sets and highlight problem areas in the Preserve.
机译：图1a Contourmap的屏幕截图。条形图显示了化学价值的总时间视图。每个条形表示每年一个化学品/月/日的最大值。可以快速发现化学品的时空模式并与等高图视图进行比较。我们使用不同的颜色编码不同的年份。基于逆距离加权算法创建轮廓线。沿相同轮廓线的所有点处于相同的值。本文介绍了一种新型的视觉分析工具来分析水污染数据。条形图和轮廓图用于检查聚合级别的数据。为了识别所有区域的空间和时间模式，我们创建了一系列的轮廓图，并使用了索收汇总读数。我们还编码了颜色的轮廓，使得更新的数据位于较高的频谱（红色/橙色）上，较旧的数据在更酷的频谱上（蓝色/绿色）。通过平移，选择，刷涂和过滤时间尺度，用户能够识别数据集中的感兴趣模式，并突出显示保护区中的问题区域。

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