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作 者:赵璐[1] 郑新奇[1,2] 闫弘文[3] 郭正鑫[3] 王广军[1]
机构地区:[1]中国地质大学(北京)土地科学技术学院,北京100083 [2]国土资源部土地整治重点实验室,北京100083 [3]山东师范大学人口资源与环境学院,济南250014
出 处:《农业工程学报》2008年第S1期99-103,共5页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然科学基金资助项目(40571119);国家社会科学基金资助项目(07BZZ015);国家科技支撑项目资助课题(2006BAB15B03;2006BAB15B06);2007年度国土资源部百名优秀科技人才计划项目资助;中国地质大学(北京)人才基金资助项目(51900912300)
摘 要:农用地质量是多种变异因素综合作用的结果,具有高度的空间异质性。传统方法下得到的定级单元多具有一定的破碎性,较难体现评价单元间农用地质量的空间变异性。而地统计学能够较好地体现自然现象的空间变异与空间结构,已广泛应用于诸多领域。该研究尝试将地统计学方法应用于县域农用地定级研究中,提出了基于地统计学、相关数学模型以及GIS技术的农用地定级技术路线。首先,通过半变异函数和主成分分析方法进行评价指标的选取和权重的确定,并结合各指标样点的Kriging插值结果和GIS技术进行定级单元的划分,然后评定各定级单元的农用地质量,在此基础上进行定级。我们以山东省平阴县农用地定级为例进行了实证研究,并在空间区分度和空间重叠率等方面将实证结果与传统因素法定级结果进行了对比,从而论证了该方法的可行性和定级结果的合理性。The quality of agricultural land is depending on the integrated interaction of many factors,and it has high spatial heterogeneity.The grading units divided by traditional methods is somewhat fragmental,so it is difficult to reflect the spatial characteristic of the land quality.Geostatistics can reflect the spatial heterogeneity and spatial structure ofnatural phenomena much better,and it has been widely applied in many fields,such as ecology and pedology.This study innovatively applied geostatistics into county-level agricultural land grading,and raised a new technical process to carry out the gradation.Firstly,we set up the index system by the method of PCA and semi-variogram model.Secondly,we divided the grading units according to the results of Kriging interpolation with the aid of ArcInfo 9.0.Then we evaluated the land quality of each unit based on the index system and conducted the gradation.Moreover,we had carried out an empirical study in Pingyin county of Shandong province.By comparing the spatial overlap rates and the spatial superposition rates between the results in geostatistics and the traditional factor method,the feasibility and reasonability of the grading result in this new method have been proved.
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