In order to realize the refined recognition of urban functional areas,a"space-influence"weight analysis model is estab-lished based on multi-source geographic information data such as OSM,POI,satellite remote sensing images,online Gaode map(Amap),and planning thematic maps.The functional types of plot units are recognized through POI weight scores,so as to achieve the refined recognition of urban functional areas.The experimental results on the core urban areas of Qingdao show that this method can accurately realize the refined recognition of urban land parcel functions,which can provide data support for urban pattern optimiza-tion and public resource allocation.
multi-source geographic information dataPOIOSM road networkurban functional areas
NETL
NSTL
万方数据
