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Uber's H3 index was used to divide the cities into hexagons, and OSM tags were aggregated for each hexagon. We propose the hex2vec method based on the Skip-gram model with negative sampling. ... In this paper we propose the first approach to learning vector representations of OpenStreetMap regions with respect to urban functions and land-use in a micro-region grid. ... resolutions. Resolution Average Area [m 2 ] Average Edge Length [m] 7 5161293.2 1220.6 8 737327.6 461.4 9 105332.5 174.4 10 15047.5 65.9 11 2149.6 24.9 hex2vec -Context-Aware Embedding H3 Hexagons ...doi:10.1145/3486635.3491076 arXiv:2111.00970v1 fatcat:svgrcrb5indczp4nywy4c4iz24