【摘要】 借助SPSS软件,以河池市1998~2008年土地利用变更调查数据及相关经济社会统计数据为基础,借助系统论中的信息熵原理分析河池市土地利用变化特征。结果表明,10年间,信息熵的变化(1.455~1.463)说明河池市土地利用向无序状态发展,有序度降低;利用SPSS的因子分析功能对影响河池市耕地变化的社会驱动因子进行分析,得出第1主成分累计贡献率达68.697%,载荷系数较高的集中在农民人均纯收入、固定资产投资额、客运周转量、蔬菜播种面积等,表明产业结构、交通水平和经济水平是影响耕地变化的主要社会驱动因素。更多还原

【Abstract】 Under the support of SPSS,based on the data of land use change survey from 2001 to 2007 in Hechi City and the associated economic and social statistics,using system theory analysis of the information entropy principle,the characteristics of land-use change in Hechi City were analyzed.In the last 6 years,the information entropy of change(1.455-1.463) showed that land-use in Hechi City developed to a state of disorder,lower degree of order.With the analysis of the principal component,the social driving factors that affected the farmland change in Hechi City were analyzed.The cumulative contribution of the first principal component rate reached 68.697%,on the table of component matrix,higher factors most concentrated in the per-capita net income of farmers,fixed assets investment,passenger turnover,vegetables sown area and so on.This showed that the structure of industry,traffic level and economical level of Hechi City were the main social driving factors that affected the farmland changes.更多还原