车臣, 何如海, 任旖妮, 李艳萍. 基于信息熵的池州市土地利用结构变化分析与灰色预测[J]. 云南农业大学学报(社会科学), 2017, 11(3): 72-76. DOI: 10.3969/j.issn.1004-390X(s).2017.03.013
引用本文: 车臣, 何如海, 任旖妮, 李艳萍. 基于信息熵的池州市土地利用结构变化分析与灰色预测[J]. 云南农业大学学报(社会科学), 2017, 11(3): 72-76. DOI: 10.3969/j.issn.1004-390X(s).2017.03.013
CHE Chen, HE Ruhai, REN Yini, LI Yanping. Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy[J]. Journal of Yunnan Agricultural University (Social Science), 2017, 11(3): 72-76. DOI: 10.3969/j.issn.1004-390X(s).2017.03.013
Citation: CHE Chen, HE Ruhai, REN Yini, LI Yanping. Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy[J]. Journal of Yunnan Agricultural University (Social Science), 2017, 11(3): 72-76. DOI: 10.3969/j.issn.1004-390X(s).2017.03.013

基于信息熵的池州市土地利用结构变化分析与灰色预测

Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy

  • 摘要: 本文在计算得出池州市20092015年土地利用结构信息熵基础上,分析影响信息熵值大小的土地利用类型,并运用灰色系统理论GM(1,1)模型对20162020年池州市土地利用结构信息熵、均衡度进行预测。结果显示:影响池州市土地利用结构信息熵动态变化的主要土地利用类型有城镇村及工矿用地、交通用地和草地,其中城镇村及工矿用地与信息熵变化关联度最大。土地利用结构信息熵和均衡度呈单调递增趋势,说明池州市在经济发展的同时,土地利用结构向均衡化的方向发展。

     

    Abstract: Based on entropy theory, this paper studies the variation of land use structure information entropy in Chizhou City from 2009 to 2015, discusses the types of land use affecting the values of information entropy, and predicts the information entropy, equilibrium degree and dominance degree from 2016 to 2020, using the GM(1,1) model of Grey System Theory. The results show that the land use types, including the urban village, industrial and mining land, traffic land and water project land, played important roles in affecting dynamic evolution of the entropy. The Urban village, industrial and mining land had significant correlation to the entropy. The land use structure information and balance in Chizhou City were increasing slightly. The overall results indicated that land use structure in Chizhou City becomes more and more balance.

     

/

返回文章
返回