Data visualization sharing method for smart city

The invention relates to a data visualization sharing method for a smart city. The method comprises the following steps: acquiring migration confidence of each atmospheric pollutant from a monitoring area to which a suspected pollution source belongs to a next adjacent monitoring area; in each monitoring area, according to the change of the environment monitoring result at each sampling moment and the air monitoring result at the adjacent sampling moment, acquiring an environment influence factor of each atmospheric pollutant in each monitoring area; adjusting the corresponding migration confidence coefficient according to the environmental impact factor to obtain a corrected migration confidence coefficient; and carrying out visual sharing on the suspected pollution source, the corresponding probability, the pollution migration path and the corresponding correction migration confidence coefficient. The frequent item set is mined in combination with the pollution degree, and the suspected pollution source and