地理科学 ›› 2007, Vol. 27 ›› Issue (5): 689-694.doi: 10.13249/j.cnki.sgs.2007.05.689

• 论文 • 上一篇    下一篇

利用不同方法估测土壤有机质及其对采样数的敏感性分析

李翔1,2,3, 潘瑜春1, 赵春江1, 王纪华1   

  1. 1. 国家农业信息化工程技术研究中心 北京 100089;
    2. 河南省信息产业厅信息化办公室 河南 郑州 450008;
    3. 河南省人民政府信息化办公室 河南 郑州 450008
  • 收稿日期:2006-05-18 修回日期:2006-10-21 出版日期:2007-09-20 发布日期:2007-09-20
  • 通讯作者: 赵春江(1964- ),研究员,博士生导师。E-mai:lzhaoc@jnercita.org.cn E-mail:赵春江, lzhaoc@jnercita.org.cn
  • 基金资助:
    北京市自然科学基金(4061002);农业部948项目(2006-G63)资助

Estimation of Soil Organic Matter Based on Four Methods and Effect of Sampling Number on Estimation Accuracy

LI Xiang1,2,3, PAN Yu-Chun1, ZHAO Chun-Jiang1, WANG Ji-Hua1   

  1. 1. National Engineering Research Center for Information Technology in Agriculture, Beijing 100089;
    2. Henan Information Industry Department, Zhengzhou, Henan 450008;
    3. People’s Government Information Office of Henan Province, Zhengzhou, Henan 450008
  • Received:2006-05-18 Revised:2006-10-21 Online:2007-09-20 Published:2007-09-20

摘要: 用随机方法从262个采样点中抽取200个点作为已知有机质含量的数据集,将所有采样点的碱解氮作为辅助数据预测有机质的空间分布。利用有机质信息的普通克立格法的方差解释量和预测精度最低,而回归克立格法因在预测过程中加入了回归残差而使方差解释量最大、预测精度最高。为了分析采样数对不同方法预测精度的影响,从上述已知有机质含量的200个点中分别随机抽取40、80、120、160个点构成4个数据集,分别利用它们的有机质信息和不同方法预测了有机质的空间分布,结果表明:对于每个数据集,4种方法的预测精度顺序均为RGK>COK>RG>OK,线性回归法的预测精度随采样点的增加基本不变,而其它三种方法的预测精度却逐渐提高。

Abstract: This paper presents four methods for estimating spatial distribution of soil organic matter and examines these methods’sensitivity to the sampling number.The four methods are ordinary kriging(OK),simple linear regression(RG),cokriging(COK),and regression-kriging(RGK).All sampling sites are randomly divided into two groups: interpolation dataset(200 points) and validation dataset(62 points).The organic matter of interpolation subset and alkalizable nitrogen of all observations are used to mapping soil organic matter.Among four methods,ordinary kriging,only using the information of organic matter,yields lowest accurate predictions and smallest proportion of the total variation,while regression-kriging using secondary data(alkalizable nitrogen) yields highest accuracy and largest variation explainable.To examine the effect of sampling number on the performance of four mapping methods,four subsets of 40,80,120,160 sampling sites are randomly selected from the interpolation dataset.For each subset,organic matter is estimated over the study area by four methods,respectively.The results show that the accuracy performances of four methods are RGK>COK>RG>OK.Moreover,the results indicate that the performance of simple linear regression remain stable,and that others perform better when the sample size of organic matter increased.

中图分类号: 

  • S153.6+21