安徽农业科学2016,Issue(9) :238-240.

全国建设用地占用耕地的空间相关性与热点分析

The Spatial Correlation of Cultivated Land Occupied by Construction Land and Hot Spot Analysis

傅靖 羊秀丹
安徽农业科学2016,Issue(9) :238-240.

全国建设用地占用耕地的空间相关性与热点分析

The Spatial Correlation of Cultivated Land Occupied by Construction Land and Hot Spot Analysis

傅靖 1羊秀丹1
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作者信息

  • 1. 海南省国土资源厅信息中心,海南海口570203
  • 折叠

摘要

为进一步了解我国由于建设用地增加而导致的耕地面积减少的空间分布情况,以1987 ~2010年我国32个省级行政区(未统计香港、澳门数据)建设用地占用耕地的统计数据作为研究对象,采用空间自相关全局Moran's I指数、局部Getis-OrdGi*系数对其进行了分析.结果表明:①从全局来看,当距离阈值为500 km时,全国建设用地占用耕地的空间自相关性最强,全局Moran's Ⅰ指数达到0.512.②从局部来看,建设用地占用耕地区域差异明显.北京、天津、河北、广东、江苏、安徽、上海和浙江高值显著聚集,属于热点区域,宁夏低值显著聚集,属于冷点区域.通过对我国建设用地占用耕地的空间相关分析及热点分析探测,弥补了以往耕地变化研究重视数量分析而忽略空间关联性的缺陷,为全面认识我国建设用地占用耕地的空间分布特征,科学合理地制定区域耕地保护政策提供帮助.

Abstract

In order to further understand the space distribution of China's cultivated land decline due to construction land increase,based on 1987-2010 statistical data of cultivated land occupied by construction land in 32 provincial regions(not including Hongkong,Macao data),the spatial autocorrelation global Moran's Ⅰ index,the coefficient of local Getis-OrdGi * was used to analyze.The results showed that:①from the global perspective,when the distance threshold is about 500 km,the national construction land occupying the cultivated land is the most relevant,global Moran's I index is 0.512.② from the perspective of local,the regional difference is obvious.Beijing,Tianjin,Hebei,Guangdong,Jiangsu,Anhui,Shanghai and Zhejiang are high value significantly gathered,and belongs to the hot spots,Ningxia low-value gathered,belongs to the cold spot area.Based on the analysis of the spatial correlation of cultivated land occupied by construction land and hot spot analysis detection,make up the shortcomings of past research attaches great importance to the number and ignores the space correlation,it contributes to comprehensive understanding spatial distribution of cultivated land occupied by construction land in China and offers help to reasonable regional cultivated land protection policy-making.

关键词

空间自相关/热点分析/耕地/建设用地

Key words

Spatial autocorrelation/Hot spot analysis/Cultivated land/Construction land

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出版年

2016
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
被引量4
参考文献量14
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