Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling

Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling

OpenStreetMap (OSM) is a voluntary platform designed to provide free and up-to-date geographic data. Since OSM is based on multisource geographic data provided by the public, the quality of the data has become a concern of researchers. In this study, a unified measure for evaluating OSM data quality...

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Bibliographic Details
Main Authors: Chuqiao Han, Binbin Lu, Jianghua Zheng, Danlin Yu, Shudan Zheng
Format: Article
Language:English
Published: Taylor & Francis Group 2025-05-01
Series:Geo-spatial Information Science
Subjects:
OpenStreetMap (OSM)
data quality
economic modeling
geographically and temporally weighted regression (GTWR)
machine learning
China
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2356238
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https://www.tandfonline.com/doi/10.1080/10095020.2024.2356238

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