A REGRESSION MODEL OF SPATIAL ACCURACY PREDICTION FOR OPENSTREETMAP BUILDINGS

5 citations as recorded by crossref.

1. Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul M. Basaraner https://doi.org/10.2478/pcr-2020-0010
2. Assessing the Quality of OSM 3D Building Data Using 3D Geometric Comparison and Machine Learning L. Hu & H. Du https://doi.org/10.1111/tgis.70437
3. Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan J. Yamashita et al. https://doi.org/10.1080/10095020.2022.2085188
4. Systematic modelling of a large-scale, historicised, well-detailed building land use, with the fusion of massive and heterogeneous datasets M. Colomb et al. https://doi.org/10.1371/journal.pone.0359346
5. Is the radial distance really a distance? An analysis of its properties and interest for the matching of polygon features Y. Méneroux et al. https://doi.org/10.1080/13658816.2022.2123487