土地利用影响因素的微观分析——以关中地区为例

Micro-study of factors affecting land use——A case study of Guanzhong region

以遥感解译获取的土地利用数据为变量,自然和社会经济数据为自变量,采用多源数据融合的方法,基于空间自回归模型对关中地区3种主要土地类型的影响因素进行了微观分析.结果表明:与林地分布相关的主要因素为坡度和地形起伏度,与耕地分布相关的主要因素为坡度、地形起伏度和有机质含量,与建设用地相关的主要因素为地形起伏度、河网密度和道路通达度;通过模型的比较研究,考虑空间自相关因素的空间自回归模型能较好地从空间上解释土地利用格局的影响因素.

Using remote sensing interpreter data as variable data,natural and social economic data as independent variable, based on multi-original data merge, the micro-study of driving force of land use in Guanzhong region was made by using spatial autocorrelation model. The results showed that the main factors associated with the forest＇s distribution are slope and relief,the main factors associated with the cultivated land＇s distribution are slope, relief and organic matter content, the main factors related to the construction land＇s distribution are relief, drainage density and accessibility of the road. Through the comparison of the model, spatial autoregressive model that considering the spatial autocorrelation can better explain the influencing factors of land use pattern from space.