Urban area function intelligent identification method based on multi-source data fusion

The invention discloses an urban area function intelligent identification method based on multi-source data fusion, and the method comprises the steps: obtaining the map data of a city, and dividing the city into a plurality of urban areas according to a main road; searching interest point metadata and text data contained in each city area from an Internet website and carrying out normalization processing; searching and quantifying the track data of the taxi; establishing an unsupervised clustering model based on a Bayesian hierarchical model, and solving model parameters according to a variational inference method; generating theme distribution of each urban area and correlation between each theme and various functions, and taking several urban functions most relevant to the theme with the maximum probability as main functions of the area; and generating the most relevant city feature words of each function in the region. According to the method, multi-source and multi-mode data are fused, urban area functio