The spatial distribution patterns and the multi-scale features of the scenic spots are the main foundations of the planning of the city's tourism development. We used the mean nearest neighbor index, Ripley's L function, kernel density analysis, and the spatial hierarchy clustering method from ArcGIS 10.2 And Crimatat 3.3 software to research the spatial patterns and the multi-scale feature distribution of the total of 466 scenic spots and 29 national A-level scenic spots in Handan, Hebei province. The results show that:(1) the total scenic spots in Handan cluster at a broad spatial scale with the eigen-scale of 6.1 km, while the national A-level scenic spots mainly are random distributed. The gap of tourism in Handan still remains. (2) The total scenic spots of Handan show a spatial distribution pattern with the main urban area as the clustering center which is surrounded by many small clustering hot-spots; while there are three clustering hot-spots in the spatial distribution pattern of the national A-level scenic spots. However, the construction of hot-spring resorts has not yet formed a clustering scale in Guangping and Guantao areas in the Easten Handan, which needs to promote construction development.