defined by OECD in collaboration with EC/Eurostat
consider factors beyond the predefined city boundaries to better reflect the economic geography of where people live and work
OECD Metropolitan eXplorer: http://measuringurban.oecd.org
Spatial data often has a temporal component; things move, and boundaries change over time.
Even though using FUAs to measure metropolitan areas provides a basis for an agreed definition of urban areas, to support the design of better policies for different types of urban areas, one needs to weight some factors more than others or use additional factors, which are not predefined in the current OECD methodology.
The OCED data (for both shapefiles and methodology) are not FAIR-enough to reproduce the predefined FUAs.
Database of Global Administrative Areas (GADM)
Flickr Shapefiles Dataset
Published Shapefiles for Individual Countries
Published Geospatial RDF Datasets
Virtuoso Geo Spatial Geometry as internal representation for Geo-data in RDF
Query on metadata about the administrative boundaries
Find the alignment between levels in different datasets
Check the overlaps of areas at the similar level, and for the matching areas apply string matching to make sure that they refer to the same administrative boundary
Find administrative boundaries containing a given point (e.g. PointToOSMAdmin).
Find details of a given administrative boundary (e.g. OSMAdmin).
Find (multi-)polygon shapes of a given administrative boundary (e.g. OSMAdminToPolygon).
Find FUAs related to a given administrative boundary(e.g. BoundaryToOECDFUA) or a given point (e.g. PointToOECDFUA). In case of adaptive FUAs, for a given indicator, the service will return its corresponding FUA.