Abstract
In this paper, gray prediction is used to predict the later development data of the year without the participation of the National Games, which is compared with the real value of the later year. Then fit all provinces with tourism data in China with the data in Shaanxi Province, and select the better fitting provinces Jiangxi, Shanxi and Yunnan as the standard to test the gray prediction results. For the area substitution error in gray prediction, Lagrange interpolation is used to calculate a new background value for optimization. Finally, the map line of tourism development growth rate is drawn, and the impact of the National Games on Shaanxi tourism is -15%.
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