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Point grid map: a new type of thematic map for statistical data associated with geographic points

机译：点网格图：一种新型的专题图，用于与地理点相关的统计数据

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摘要

Social, economic, and environmental statistical data associated with geographic points are currently globally available in large amounts. When conventional thematic maps, such as proportional symbol maps or point diagram maps, are used to represent these data, the maps appear cluttered if the point data volumes are relatively large or cover a relatively dense region. To overcome these limitations, we propose a new type of thematic map for statistical data associated with geographic points: the point grid map. In a point grid map, an input point data set is transformed into a grid in which each point is represented by a square grid cell of equal size while preserving the relative position of each point, which leads to a clear and uncluttered appearance, and the grid cells can be shaded or patterned with symbols or diagrams according to the attributes of the points. We present an algorithm to construct a point grid map and test it with several simulated and real data sets. Furthermore, we present some variants of the point grid map.
机译：当前，与地理点相关的社会，经济和环境统计数据在全球范围内大量可用。当使用常规主题图（例如比例符号图或点图图）来表示这些数据时，如果点数据量相对较大或覆盖相对密集的区域，则这些图将显得混乱。为了克服这些限制，我们为与地理点相关的统计数据提出了一种新型的专题图：点网格图。在点网格图中，将输入点数据集转换为一个网格，其中每个点都由一个大小相等的正方形网格单元表示，同时保留每个点的相对位置，从而使外观清晰整洁，并且根据点的属性，可以用符号或图表对网格单元进行阴影或图案化。我们提出一种构建点网格图的算法，并使用多个模拟和真实数据集对其进行测试。此外，我们介绍了点网格图的一些变体。

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