STUDY ON CHARACTERISTICS OF TOURIST FLOW FLUCTUATION IN SCENIC SPOTS IN BIG DATA BASED ON ECOLOGICAL THEORY

The rapid development of information technology makes all walks of life high efficient, convenient and technical. The application of big data analysis technology in the analysis of tourist flow in scenic spots not only saves human resources and time costs, but also improves the efficiency and accuracy of the analysis, This research analyzed characteristic of tourist flow fluctuation based on GPS in Weibo. Calling API interface of Sina Weibo open platform by using pro'ams, this paper selected data attributes, collection center and time period, selected the data of tourists blocking in Sina Weibo in 2019, and after screening, the time period difference, gender difference and source difference of Baiyun Mountain tourist flow can be analyzed. It can be summed up that the overall fluctuation of tourist flow in Baiyun Mountain in different time periods was M shaped, which was affected by winter and summer holidays, legal holidays and climate. The reason why the number of female who have clocked in was more than that of male was that female tourists were better at sharing, and the foreign tourists flow was also affected by legal holidays.