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辅助时序数据用于土壤盐分空间预测及采样研究 被引量:10
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作者 李艳 史舟 +2 位作者 程街亮 金辉明 王人潮 《农业工程学报》 EI CAS CSCD 北大核心 2006年第6期49-55,共7页
以普通克立格法作为参考,利用辅助数据的两种预测方法,即协同克立格法和回归克立格法对海涂区土壤盐分进行空间内插计算,并在目标变量的采样数目不断减少的情况下,利用80个检验样本,对比了这3种方法的预测精度。结果表明,不论目标变量... 以普通克立格法作为参考,利用辅助数据的两种预测方法,即协同克立格法和回归克立格法对海涂区土壤盐分进行空间内插计算,并在目标变量的采样数目不断减少的情况下,利用80个检验样本,对比了这3种方法的预测精度。结果表明,不论目标变量的样品数目如何减少,利用了辅助变量的协同克立格法和回归克立格法的预测精度较普通克立格法都有了较大提高,而且回归克立格法的预测精度总体上要好于协同克立格法。对不同样品数目下3种方法的预测误差进行T检验发现,回归克立格法对普通克立格法和协同克立格法预测误差的减少在不同的样本数目下都达到了极显著水平。研究结果表明,利用连续几个时段上辅助的时序数据,来对同样点位上下一个时段的变量进行估值,可以较大地提高估值精度,节省采样成本。尤其是回归克立格法的回归部分可以是一般的线性模型,也可以是非线性模型,在预测时无疑更具灵活性。 展开更多
关键词 辅助数据 土壤盐分 协同克立格法 回归克立格法 采样数目 预测精度
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Determination of Ash Contents in Coal by Means of Ordinary Kriging Method
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作者 Tomasz Niedoba Tadeusz Tumidajski 《Journal of Earth Science and Engineering》 2012年第10期571-575,共5页
The ash contents in coal particles were examined in the paper dependably on particle size and its density. So, the two-dimensional regressive function Z = Z(P, D) was the searched object, where Z is random variable ... The ash contents in coal particles were examined in the paper dependably on particle size and its density. So, the two-dimensional regressive function Z = Z(P, D) was the searched object, where Z is random variable describing ash contents, P---density and D---particle diameter. This dependence was determined based on experimental data concerning the coal of type 31. For this coal, the method of ordinary kriging was applied to calculate the values of random variable Z. This method required the proper selection of so-called variogram function, in which four forms were considered in this paper in purpose to select the best solution. The given results were then evaluated by the mean standard error value and compared with empirical data. 展开更多
关键词 Ordinary kriging COAL ash contents geostatistics.
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