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江西省县域尺度耕地变化的地域格局分析
引用本文:朱传民,黄雅丹,吴佳,彭琼.江西省县域尺度耕地变化的地域格局分析[J].水土保持通报,2012,32(4):288-291.
作者姓名:朱传民  黄雅丹  吴佳  彭琼
作者单位:东华理工大学地球科学学院江西省数字国土重点实验室,江西抚州,344000
基金项目:江西省社会科学“十一五”规划项目“基于县域单元的区域经济发展时空格局演变ESDA分析”(10JL07);江西省教育厅科技项目(GJJ10173);江西省数字国土重点实验室开放基金(DLLJ201008)
摘    要:以县域为基本空间单元,借助GIS技术,利用探索式空间数据分析(ESDA)相关理论,对江西省耕地数量变化的区域差异格局、特征与驱动机制进行了研究。结果表明,经全局空间自相关指数Moran′s I值计算,研究期内区域耕地数量变化的差异呈现出一定的空间集聚特征,且有进一步集聚的趋势;各县域Local Moran′s I反映了耕地变化在局域空间上具有一定的均质性,"北部平原—周边山区—内部岗丘"的区域化分异特征;局域空间自相关(LISA)的4种集聚类型中,正相关的"高—高"和"低—低"类型占主体部分,约占60%。其中,"高—高"关联的主要有北部平原区、周边部分山区县,而赣东南西三面群山向内部平原过渡的岗地、丘陵地区等则表现出一定的"低—低"关联特征。不同类型区,影响耕地数量变化的主导因素有所不同。

关 键 词:耕地  空间自相关  Moran指数  地域格局
收稿时间:8/6/2011 12:00:00 AM

Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province
ZHU Chuan-min,HUANG Ya-dan,WU Jia and PENG Qiong.Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province[J].Bulletin of Soil and Water Conservation,2012,32(4):288-291.
Authors:ZHU Chuan-min  HUANG Ya-dan  WU Jia and PENG Qiong
Institution:(College of Geosciences,Digital Land Key Laboratory of Jiangxi Province,East China Institute of Technology,Fuzhou,Fujian344000,China)
Abstract:Based on global and local spatial autocorrelation analyses of exploratory spatial data,this study analyzed regional pattern and driving forces of cultivated land use change in Jiangxi Province from 1980to 2007 by adopting GIS technology and Geoda software.The results indicate that during 1980—2007,the global spatial autocorrelation of cultivated land change in the study area was significant,as shown by the value of Global Moran′s I.The changes of cultivated land in Jiangxi Province displayed a clear spatial clustering effect along with a spatial homogeneity within individual zones such as northern plain,surrounding mountains,and inner hills.The majority of the counties had a positive spatial correlation in land use change.Specifically,"high-high"correlations were mainly found in the northern plain and surrounding mountains of the province,while"low-low"correlations were found in the hilly areas.The main driving forces influencing cultivated land change varied in different regions.
Keywords:cultivated land  spatial autocorrelation  Moran′s index  regional pattern
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