A Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised Machine Learning
Anyone can contribute geographic information to OpenStreetMap (OSM), regardless of their level of experience or skills, which has raised concerns about quality. When reference data is not available to assess the quality of OSM data, intrinsic methods that assess the data and its metadata can be used...
| Main Authors: | , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
MDPI AG
2021-03-01
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| Serija: | ISPRS International Journal of Geo-Information |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2220-9964/10/3/156 |