Building(s and) cities: Delineating urban areas with a machine learning algorithm - City & Employment Centre Boundaries (v1)

City and employment centre boundary delineations for Spain (except Basque Country and Navarra), based on building footprint from the Cadastre, and created using the A-DBSCAN algorithm.<br>GeoJSON polygons expressed in WGS-84 (ie. lon/lat), GeoPackage polygons expressed in ETRS89 / UTM zone 30N (EPSG:25830).<br>Files included in this dataset:<br>- <code>sp_blg_adbscan_city_boundaries_v1.geojson</code>: city boundaries in GeoJSON format. Each boundary contains a city ID (<code>city_id</code> in the table) and the number of building footprints it contains (<code>n_buildings</code> in the table).<br>- <code>sp_blg_adbscan_city_boundaries_v1.gpkg</code>: city boundaries in GeoPackage format. Each boundary contains a city ID (<code>city_id</code> in the table) and the number of building footprints it contains (<code>n_buildings</code> in the table).<br>-<code> sp_blg_adbscan_emp_centre_boundaries_v1.geojson</code>: employment centre boundaries in GeoJSON format. Each boundary contains a city ID (<code>city_id</code> in the table), an employment centre ID (<code>centre_id</code> in the table) and the number of building footprints it contains (<code>n_buildings</code> in the table).<br>- <code>sp_blg_adbscan_emp_centre_boundaries_v1.gpkg</code>: employment centre boundaries in GeoPackage format. Each boundary contains a city ID (<code>city_id</code> in the table), an employment centre ID (<code>centre_id</code> in the table) and the number of building footprints it contains (<code>n_buildings</code> in the table).<br>For further reference, please see original paper:<br>Arribas-Bel, D.; Garcia-Lopez, M. A.; Viladecans-Marsal, E. (2020). "Building(s and) cities: Delineating urban areas with a machine learning algorithm". <i>Journal of Urban Economics.</i><br>