Research on Landscape Design of Chinese Literati Garden Based on Footprint Agglomeration Analysis from the Perspective of Ecological Aesthetics

Looking at the traditional Chinese culture, ecological aesthetics has a distinct expression in garden literature. Literati garden has dual attributes of culture and art, and is the ideal carrier for elegant collection activities. The garden scenery is rich in literature, and the scenery is prominent in literature and scenery, which makes the participants happy and enjoy endless taste. Mu Wen proposed a big data analysis method of location association and aggregation based on the cluster analysis of the footprints of literati groups. Based on the moving footprint data of literati, he demonstrated the research on landscape design of Chinese literati gardens. From the data of 110,000 footprints in the field of humanities, he used the location association technology of GIS to form footprint maps and construct the migration network map of literati. The spatial PageRank algorithm is used to calculate the cultural attraction, which intuitively presents the gardens where scholars gathered in different periods. The feature visual reconstruction and spatial distributed detection of landscape spatial environment design images were carried out by combining the template matching method of block areas. In order to visually recreate landscape spatial environment design images, the similarity information fusion model was used to perform landscape art information fusion perception and template matching of block areas. Using the footprint aggregation analysis method, garden art landscapes can have their information fusion perception and visual reconstruction quality evaluated. According to the simulation results, this method successfully recreates the artistic elements of the landscape spatial environment vision while also having a high output signal-to-noise ratio, high image recognition accuracy, and a good overall effect on the landscape spatial environment design.