As a user‐generated map of the whole world, OpenStreetMap (OSM) provides valuable information about the natural and built environment. However, the spatial heterogeneity of the data due to cultural differences and the spatially varying mapping process makes the extraction of reliable information difficult. This study investigates the variability of association rules extracted from OSM across different geographic regions and depending on different context variables, such as the number of OSM mappers. The focus of this study is the spatial co‐occurrence of OSM tags mapped inside of parks within eight different cities. Without considering any context variable, most association rules were very region‐specific without any rule being valid across all cities. Limiting the association rule analysis to parks based on specific context variables increased the number of rules which are applicable across multiple cities. Furthermore, additional region‐specific association rules emerged. The most important context variables were found to be the number of features mapped inside the park, the number of tags and the park size. These results suggest that the mapping process has a significant influence on the emergence of association rules within user‐generated data. Therefore, this subject needs further investigation to enable effective usage of OSM data across different cultural realms.

中文翻译：

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OpenStreetMap中基于上下文的关联规则的区域变体

作为用户生成的全球地图，OpenStreetMap（OSM）提供有关自然和建筑环境的有价值的信息。但是，由于文化差异和空间变化的映射过程而导致的数据空间异质性使得可靠信息的提取变得困难。这项研究调查了从OSM提取的关联规则在不同地理区域之间的变化，并取决于不同的上下文变量，例如OSM映射器的数量。这项研究的重点是在八个不同城市的公园内映射的OSM标签的空间共现。在不考虑任何上下文变量的情况下，大多数关联规则都是针对特定区域的，而没有任何规则在所有城市都有效。将关联规则分析限制为基于特定上下文变量的公园，可以增加适用于多个城市的规则数量。此外，出现了其他特定于地区的关联规则。发现最重要的上下文变量是公园内映射的要素数量，标签数量和公园大小。这些结果表明，映射过程对用户生成的数据中关联规则的出现具有重大影响。因此，该主题需要进一步研究，以实现跨不同文化领域有效使用OSM数据。标签的数量和公园的大小。这些结果表明，映射过程对用户生成的数据中关联规则的出现具有重大影响。因此，该主题需要进一步研究，以实现跨不同文化领域有效使用OSM数据。标签的数量和公园的大小。这些结果表明，映射过程对用户生成的数据中关联规则的出现具有重大影响。因此，该主题需要进一步研究，以实现跨不同文化领域有效使用OSM数据。