基于信息熵和灰色关联的成都市建设用地结构时空变化及驱动力分析

采用成都市1996-2010年土地利用变更数据和相关社会经济资料作为研究的基础材料,运用信息熵模型对研究区建设用地结构时空变化特征进行了研究,并对影响其信息熵变化的因素进行分析。研究结果表明:在时间上,始末两期对比,成都市建设用地结构信息熵、均衡度略有下降,优势度略有上升;在空间上,研究期内主城区、近郊区信息熵表现为下降趋势,远郊区表现为上升趋势,其中近郊区下辖区域信息熵变化特征出现了明显的两极分化。运用DPSv7.05进行灰色关联分析可知:成都市建设用地内部结构的变化主要表现为城镇建设用地、交通运输用地面积比例的增加和农村居民点用地、采矿用地、水利设施用地和其他建设用地面积比例的减少,这直接导致其信息熵的变化;成都市社会经济的发展是导致其信息熵变化的根本原因;政策规划、区位条件和自然灾害因素与信息熵变化也存在密切关系。

Temporal-spatial changes and driving forces of built-up land structure in Chengdu City based on information entropy and gray correlative degree analyses

Uses information entropy theory model, this study examined temporal-spatial changes and driving forces of built-up land structure of Chengdu City using land use and concurrent socio-economic data (1996-2010). The results indicated that the information entropy and equilibrium degree of Chengdu had slightly decreased from 1996 to 2010. In contrast, the dominance degree had slightly risen. Furthermore, a downward trend in information entropy was observed in the main city and uptown areas while upward trend was observed in outer suburbs during the study period. In addition, the changes in information entropy in the uptown areas were obvious polarized. Results from the grey correlation analysis demonstrated that the changes of the information entropy were directly cause by the increasing of urban built-up land, transportation land and the reduction of rural residential land, mining land, water conservancy facilities and other built-up land. Furthermore, social and economic development of Chengdu was the root cause of the changes of information entropy. Lastly, there were also close relationships between built-up land structure information entropy and policy planning, geographic conditions and natural disasters.