The spatiotemporal influence of socioeconomic factors on the number of OpenStreetMap contributors in China
The number of OpenStreetMap (OSM) contributors is closely related to both the quality of OSM data and various socioeconomic factors. This study applies the Geographically and Temporally Weighted Regression (GTWR) model to explore the spatiotemporal impacts of urban socioeconomic variables on OSM con...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
De Gruyter
2026-02-01
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| Schriftenreihe: | Open Geosciences |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1515/geo-2025-0916 |
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