Regional variations of context-based association rules in OpenStreetMap

• Verfasst von: Ludwig, Christina [VerfasserIn]
• Verfasst von: Fendrich, Sascha [VerfasserIn]
• Verfasst von: Zipf, Alexander [VerfasserIn]
• Titel: Regional variations of context-based association rules in OpenStreetMap
• Verf.angabe: Christina Ludwig, Sascha Fendrich, Alexander Zipf
• Jahr: 2021
• Umfang: 20 S.
• Fussnoten: First published: 03 November 2020 ; Gesehen am 19.10.2021
• Titel Quelle: Enthalten in: Transactions in GIS
• Ort Quelle: Oxford : Wiley-Blackwell, 1996
• Jahr Quelle: 2021
• Band/Heft Quelle: 25(2021), 2, Seite 602-621
• ISSN Quelle: 1467-9671
• DOI: doi:10.1111/tgis.12694
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1774499843
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

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.