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基于信息熵的土地利用结构时空变化分析——以安徽省为例 被引量:1

Analysis on Temporal-spatial Changes of Land-use Structure Based on Information Entropy—Take Anhui Province as an Example
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摘要 运用信息熵理论对2003—2014年安徽省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。结果表明:从时间角度,安徽省土地利用结构信息熵、均衡度在研究期间分为2003—2008年上升、2008—2009年下降、2009—2013年上升3个阶段,优势度正好相反;从空间角度,信息熵的空间差异大,其空间分异规律表现为高信息熵区主要集中在江淮之间,中高信息熵南北均有分布,中低信息熵分布在沿淮地区,低信息熵区在安徽南北两端的由长江向南北递减的规律;各类主体功能区信息熵由大到小依次为国家级重点开发区域、省重点开发区域、限制开发区。 Using information entropy,the temporal and spatial variation of land use structure in Anhui Province during 2003 - 2014 were analyzed. The results showed that:from a time perspective, the information entropy and equilibrium degree divided the entropy changes into rising during 2003 - 2008, falling during 2008 - 2009 and rising during 2009 - 2014 from the perspective of time sequence. However, changes in the dominance index showed an opposite trend. And there was large difference among the information entropies in the three development priority zones of Anhui Province in 2014. There was a spatial distribution law for the information entropy of land use ,which showed progressively decreased by the Yangtze River to north and south,the high information entropy area was mainly distributed in the Yangtze and Hnaihe River, and the middle high information entropy area were distributed in the north and south of Anhui, the middle low information entropy area was distributed along the Huaihe River and the low information entropy area were at the north and south ends of Anhui. The largest information entropy was in the national key development region, the second in the provincial key development region, and the smallest in the restricted development region.
出处 《安徽农业科学》 CAS 2017年第3期226-229,共4页 Journal of Anhui Agricultural Sciences
基金 安徽省国土资源厅软科学研究资助项目(2013010)
关键词 信息熵 土地利用结构 时空分析 安徽省 Information entropy Land use structure Temporal-spatial analysis Auhui Province
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