Garden cultural heritage is the material carrier of local construction skills and cultural implications. Taking Suzhou classical garden Yipu Garden as an example, this paper analyzes the internal mechanism of the effect of classical garden landscape morphological characteristics on visitors’ spatial and temporal distribution. With the help of Python crawler, the user-generated content (UGC) of the network is crawled, and information extraction and clustering analysis are carried out according to the landscape types and viewpoints reflected in UGC image data. On this basis, the spatial type, landscape preference, and seasonal representation are selected as landscape analysis indicators, and the correlation between various landscape morphological characteristics in Yipu Garden and visitors’ perceived preference indicators is quantitatively analyzed. The preliminary results show that functional attributes, spatial types, landscape preference categories, line of sight connectivity, and scope of view are the factors affecting the spatial distribution of visitors, and the seasonal characteristics of plants constitute the main factors affecting the spatial and temporal distribution of visitors. The study aims to scientifically quantify the spatial and temporal distribution characteristics of visitors’ viewpoints and to deeply interpret visitors’ landscape preferences and the mechanisms affecting the spatial and temporal distribution of their viewing behaviors.