Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common geographies is equivalent to identifying components within a k-uniform k-partite hypergraph. This approach can be easily implemented using a geographic information system in conjunction with a simple search algorithm.

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共同地理标识的注意事项

区域数据已被用于广泛的社会学研究中，效果良好。然而，与此类数据相关的最持久的问题之一是需要将数据集与不协调的边界相结合。为了帮助解决这个问题，我们引入了一种识别常见地理的新方法。我们表明，识别公共地理等同于识别 k 统一 k 部分超图中的组件。这种方法可以使用地理信息系统结合简单的搜索算法轻松实现。