基于DEM的甘孜县土地利用格局空间自相关分析

Spatial Autocorrelation Analysis of Land Use Patterns of Ganzi County Based on DEM Data

基于甘孜县土地利用、DEM数据对甘孜县土地利用格局进行了空间自相关分析,全县共划分346个网格单元,以每个单元内各地类面积为观测量分别计算了全局和局部空间自相关莫兰指数(Moran’s I),绘制LISA分布图,结果表明,甘孜县耕地、林地、草地、水域和其他用地均呈现显著的空间聚集性,且为HH型聚集,林地还存在LL聚集的现象;结合DEM提取出的海拔、坡度因子,分析地形因素对空间自相关聚集特征的影响。甘孜县各地类的聚集特征均与相应区域的地形情况密切相关,地形是土地利用格局的重要影响因素。

We analyzed the spatial autocorrelation of land use patterns in Ganzi County based on land use and DEM data from Ganzi County.346 grid units were divided,and the global and local spatial auto-correlation Moran index was calculated based on the observations of the area of each type within each cell.The LISA distribution map was drawn,and the cultivated land,forest land,grassland,water area and other land in Ganzi County showed significant spatial aggregation,and it was HH clustering,and there was also LL clustering phenomenon in forest lands.Combined with the elevation and slope factors extracted from DEM,the influence of topographic factors on spatial autocorrelation aggregation characteristics was analyzed.The results show that the agglomeration characteristics of various types of Ganzi County are closely related to the topographical conditions of the corresponding regions,and the topography is an important factor influencing the land use pattern.