Intrinsic assessment of OpenStreetMap contribution patterns through Exploratory Spatial Data Analysis
- Marco Minghini, European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
- Daniele Oxoli, Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
- Francesco Frassinelli, Norsk institutt for naturforskning (NINA), Høgskoleringen, 7034 Trondheim, Norway
- Maria Antonia Brovelli, Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
This study adopts a statistical approach based on Exploratory Spatial Data Analysis to identify underlying contribution patterns of OpenStreetMap (OSM). Univariate and multivariate analyses on a number of variables computed from OSM history on a regular hexagonal grid in Milan (Italy) allow to detect a number of both local clusters and local outliers, which shed light on the complexity of OSM temporal evolution driven by active local contributors and communities, data imports and mapping parties.