Multiple Analysis of the Relationship between the Characteristics of Plant Landscape and the Spatiotemporal Aggregation of the Population

Abstract

The reformation and development of the education system in China have led to environmental upgrades in a great number of universities. Amid this improvement, plant landscapes hold an important role in improving the environment and highlighting the campus culture. However, due to the lack of in-depth exploration of the relationship between plant landscape characteristics and the spatiotemporal aggregation of the population in current research, the design methods of campus plant landscapes are not thoroughly studied. Therefore, the mutual improvement between landscaping and population activity has not been maximized. In this study, we collected 52 plant landscape units from Northwest A&F University as the research objects. We investigated the patterns of population aggregation on campus plant landscapes through quantitative analysis of the characteristics of plant landscapes and the temporal and spatial aggregation of people. Multiple regression analysis was used to explore the complex relationship between the characteristics of each landscape and the spatial-temporal agglomeration of people. Traditional survey questionnaires and field surveys, kernel density analysis, Python crawler technology, raincloud plots analysis, correlation analysis, principal component analysis, and other methods were used to further measure and analyze plant landscape characteristics under the influence of population density from the two levels of various characteristic elements and different landscape units, and explain the mechanism affecting population aggregation, striving to provide a theoretical basis and practical support for the sustainable development of the campus environment and landscape design methods.