Urban functional area quantitative identification method based on open source geospatial vector data

The invention discloses an urban functional area quantitative identification method based on open source geospatial vector data. According to the method, a framework system and a technical process foridentifying an urban functional area under the guidance of open source data are established. Firstly, data quality is evaluated through a qualitative analysis method, a mapping relation between various open source data sources and national classification standards is established through semantic analysis, and a fusion strategy is formulated. In the method, a research unit is divided by geographicnational condition road data, and classification reference data is composed of three parts: OSM fusion surface data, single building data extracted from an image and POI data. The city blocks are divided into five classes by judging the spatial relationship between the city division blocks and the classification reference data. The method provided by the invention can improve the category extraction precision and the iden