作　　者： ; ; ;

机构地区： 中国科学院广州地球化学研究所

出　　处： 《热带地理》 2011年第3期266-271,共6页

摘　　要： 运用信息熵对广东省1996―2008年的土地利用结构变化进行时间序列和空间差异分析,并对影响其信息熵变化的因素进行分析。研究结果表明:①广东省土地利用结构信息熵在研究期间呈逐年上升趋势,均衡度逐年上升,优势度逐年下降,说明广东省土地利用系统的有序性在降低,结构性减弱,均衡度增加;②信息熵的空间差异大,其空间分异规律表现为由沿海地区向内陆山区递减;四大区域的信息熵大小表现为东翼>西翼>珠三角>山区。运用SPSS进行相关分析可知:①广东省土地利用变化主要表现为耕地、林地和未利用地的减少及园地、其它农用地、居民点与独立工矿和交通用地的增加,这直接导致其信息熵的变化;②广东省经济的发展,尤其是第二和第三产业的迅速发展,是其信息熵增大的根本原因;③总人口的增加、城市化水平的提高与信息熵的增大有着密切关系。 Using information entropy,this paper analyzes the temporal and spatial variation of land use structure in Guangdong Province from 1996 to 2008. The results are as follows：Firstly,the information entropy and equilibrium degree went up and the dominance degree went down year by year. That reflects that the disorder of the land use system was strengthening,while the structure weakening,and that the types of land utilization tended to be equilibrium during the study period. Secondly,spatial variation in the information entropy of the 21 cities was obvious. The entropy gradually reduced from the coast to the inland mountains. And there was large difference among the information entropies in the four economic regions of Guangdong Province in 2008. The largest information entropy was in the east region,the second in the west region,the third in the Pearl River Delta region,and the smallest in the north mountainous region. From the correlation analysis through SPSS,conclusions could be drawn as follows：Firstly,the reduction of cultivated land,forest land and unused land, and the increase of garden plots,other agricultural land,residential quarters, industrial and mining land and land for transportation directly made the change of the information entropy. Secondly,the economic development of Guangdong Province,especially the rapid development of the secondary and tertiary industries,was the basic cause of the increase of information entropy. Thirdly,the increase of total population and the raising of urbanization level were closely related with the increase of information entropy.

关 键 词： 广东省 土地利用结构 信息熵 时空分析

领　　域： [经济管理]