Urban space structure visualization method based on provincial traffic big data

The invention relates to the technical field of urban space structures, and discloses an urban space structure visualization method based on provincial traffic big data, which processes, cleans, extracts and stores massive original OD data, and mainly cleans redundant data and repairs abnormal data of the original OD data through ETL and space software tools; under the support of huge provincial high-speed vehicle passing data, relevant rules and algorithms are utilized, potential incidence relations among data are mined, visualized analysis results are conveniently and rapidly achieved, relations among different cities are flexibly combined, different project and different demand problems are coped, macroscopic-to-microscopic multi-scale analysis of cities, districts and counties and toll stations is supported, and the method is suitable for large-scale analysis of large-scale cities, districts, counties and toll stations. The method is applied to actual urban planning and traffic planning projects, realizes