| 基于Fisher判别分析的数字土壤制图研究 |
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| 引用本文： | 邱琳,李安波,赵玉国. 基于Fisher判别分析的数字土壤制图研究[J]. 土壤通报, 2012, 0(6): 1281-1286 |
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| 作者姓名： | 邱琳 李安波 赵玉国 |
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| 作者单位： | 江苏省农业科学院农业经济与信息研究所;南京师范大学虚拟地理环境教育部重点实验室;中国科学院南京土壤研究所 |
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| 基金项目： | 国家自然科学基金项目(40771092);中国科学院知识创新工程重要方向性项目(KZCX2-YW-409);江苏省农业自主创新资金项目(SCX(11)4033)资助 |
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| 摘 要： | 利用已知类型的土壤样点及其所处位置的高程、坡度、平面曲率、剖面曲率、复合地形指数等数据,基于Fisher判别分析方法对安徽宣城样区的土壤类型进行预测和制图表达。结果表明,土纲级别的预测效果较好,正确率达到84.2%。但随着从土纲到亚类级别的降低,由于受土壤样点数量限制,土壤类型预测的准确率也逐步降低。通过与样区1986年基于发生分类的土壤图进行对比,采用的方法无论是在制图精度,还是图面信息的负载量方面都要优于传统方法,能够更加客观真实地反映土壤在自然界的空间分布。
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| 关 键 词： | 数字土壤制图 Fisher判别分析 土壤类型预测 |
Digital soil mapping based on Fisher discriminant analysis |
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| QIU Lin,LI An-bo,ZHAO Yu-guo. Digital soil mapping based on Fisher discriminant analysis[J]. Chinese Journal of Soil Science, 2012, 0(6): 1281-1286 |
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| Authors: | QIU Lin LI An-bo ZHAO Yu-guo |
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| Affiliation: | 1.Institute of Agricultural Economy and Information,Jiangsu Academy of Agricultural Sciences,Nanjing 210014,China; 2.Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210046,China) 3.Institute of Soil Science,Chinese Academy of Sciences,Nanjing 210008,China.) |
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| Abstract: | Based on Fisher discriminant analysis(FDA) method,environmental data containing elevation,slope gradient,profile curvature,plan curvature and compound terrain index was utilized to predict soil types in Xuancheng area of Anhui province.The results show that prediction accuracy of soil orders is 84%,but that accuracy decreases with the soil type-down to subgroup level-because of quantity limitation of the soil sample.Compared to conventional soil mapping,digital mapping of soil by the FDA method is superior in terms of accuracy,information capacity etc.,and can represent soil spatial distribution in the real world more objectively. |
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| Keywords: | Digital soil mapping Fisher discriminant analysis Prediction of soil types |
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