Research on dynamic changes of urban square space in spatial and temporal based on Baidu thermal diagram a case study on the Wuyi square of Changsha

Using Baidu thermal diagram big data, analyzed the spatial and temporal behavior of Wuyi square, by applying spatial clustering, nuclear density analysis, spatial superposition and other spatial quantitative analysis method, verify and explain this time and space dynamic changes of internal factors. According to the analysis, under the support of Baidu thermal diagram big data, the dynamic changes of spatial and temporal behavior of urban square show regular distribution regularity in different time, and as time goes on, the flow of people gathered together with the commercial node is different, the day-to-day flow density showed a significant movement. As the business office area of the crowd is far greater than the influence of other regions, on the other hand, the traditional business center is still the most important crowd gathering center. IV, V-level regional volatility strong, I, II, III,-level regional volatility Volatility is weak.