Analysis of Land Use Patterns and Human Causes Based on Spatial Autocorrelation

Abstract

The rational cognition of land use spatial pattern is the beginning of land use regionalization, as well as the foundation of land consolidation project. This paper adopts the spatial autocorrelation research methods such as global spatial autocorrelation, local indicator of spatial association, taking the land use as the research object. In particular, this research takes the provincial region (Yunnan Province) as the scope scale and the county level as the analytical scale. Moreover, based on the land use survey data of Yunnan Province in 2015, this paper analyzes the spatial autocorrelation pattern of land use, and explores the human impact on the pattern formation. The results show that: (1) The spatial correlation of land use types in Yunnan Province showed positive spatial correlation. (2) There are obvious regional differences in the spatial aggregation of various land use types in Yunnan Province. (3) There are two trends of spatial pattern and spatial overlap in the high value aggregation pattern of land use types in Yunnan Province. (4) Human impact factors have different effects on the specific distribution of land use types in Yunnan Province, and there are significant spatial positive correlation for urban industrial and mining land, transportation land and cultivated land, and the distribution of forest land has significant negative correlation. This study shows that Yunnan Province, as an underdeveloped Frontier Province in China, shows significant accumulation of construction land in land use and great influence on ecological land.