昆明市土地利用程度及其空间自相关分析

Land Use Degree and Spatial Autocorrelation Analysis in Kunming City

摘要: 文章应用空间相关性理论，基于ENVI遥感图像解译，以昆明市14个县域的土地利用数据为基础，用Moran指数I分析了2005年、2011年和2015年昆明市土地利用结构和土地利用程度空间自相关变化。研究表明：1) 昆明市土地利用结构中耕地和植被覆盖面积所占比例较大，耕地面积在减少，建设用地面积在增加；2) 昆明市土地利用程度存在全局空间自相关，但相关性在减弱；3) 昆明市土地利用程度存在局部空间自相关聚类，表现为高高集聚(HH)、高低集聚(HL)、低低集聚(LL)和低高集聚(LH)共四种类型，但集聚性在减弱。

Abstract: This paper applies the theory of spatial correlation, based on ENVI remote sensing image inter-pretation and the land use data of 14 counties in Kunming, to analyze the spatial autocorrelation of land use structure and land use degree in Kunming in 2005, 2011 and 2015 with Moran Index I. The research shows: 1) The share of cultivated land and vegetation coverage in the land use structure of Kunming are large, but the area of cultivated land is decreasing while the area of con-struction land is increasing. 2) There is a global spatial autocorrelation of land use in Kunming, but the correlation is weakening. 3) There is local spatial autocorrelation clustering in land use degree in Kunming, including four types: high-high agglomerations (HH), high-low agglomerations (LL), low-low agglomerations, and low-high agglomerations (LH). But the agglomerations are weakening.