In order to understand the spatial distribution of 3A and above tourist attractions in Shandong Province, taking 957 tourist attractions of grade 3A and above in Shandong Province as the research object, uses the spatial analysis function of ArcGIS10.8, adopts the methods of nearest neighbor index, kernel density analysis, spatial autocorrelation and so on，the spatial structure and influencing factors is analyzed of high-level scenic spots in Shandong Province from the perspectives of nature and culture. The results show that the overall spatial distribution pattern of Shandong Province is characterized by dispersion at both ends and agglomeration in the middle. The spatial density distribution of high-level scenic spots in Shandong Province is uneven. Generally speaking, the eastern and central regions of Shandong Province have more scenic spots, while the western regions are relatively few. Among them, Zaozhuang, Jining, Tai 'an, Jinan, Zibo, Linyi, Weifang and Rizhao and other regions have a higher density, and they are interconnected to form an "M" shaped distribution pattern,and the southeast coastal area of Qingdao inclined. There is an obvious spatial positive correlation in the spatial distribution of high-level scenic spots in Shandong Province, with a relatively obvious "clump-like" agglomeration characteristics. The factors affecting the spatial distribution structure of high-level scenic spots in Shandong Province mainly include tourism resources, location and transportation, tourism development level, tourist source market and government policies.