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The offset correlation, a novel quality measure for planning geochemical surveys of the soil by kriging

机译:偏移相关性,一种用克里金法规划土壤地球化学调查的新型质量测量方法

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摘要

This paper presents a quality measure to plan geostatistical soil surveys when measures based on the kriging variance are not applicable. The criterion is the consistency of estimates made from two non-coincident instantiations of a proposed sample design. We consider square sample grids, one instantiation is offset from the second by half the grid spacing along the rows and along the columns. If a sample grid is coarse relative to the important scales of variation in the target property then the consistency of predictions from two instantiations is expected to be small, and can be increased by reducing the grid spacing. The measure of consistency is the correlation between estimates from the two instantiations of the sample grid, averaged over a grid cell. We call this the offset correlation, it can be calculated from the variogram. This quality measure is illustrated for some hypothetical examples, considering both ordinary kriging and factorial kriging of the variable of interest. The factorial kriging case is considered since, when planning a small-scale synoptic geochemical survey we may wish only to map components of the variation of the target variable at certain spatial scales. The quality measure is then computed for ordinary and factorial kriging with variograms estimated from data on nickel, chromium and cobalt content of soil in the north-east of England. Our results show how the offset correlation responds to sample density and the form of the variogram, and how larger correlations can be achieved for factorial kriging than ordinary kriging at a given density. The results for data on soil metals showed that an offset correlation of 0.8 could not be achieved (ordinary kriging) by sampling at 5-km intervals, the density at which all of England and Wales is sampled. However, if the objective were to map by factorial kriging the coarser-scale components of variation, driven primarily by parent material, then for two of the metals (Co and Cr) the 5-km grid was adequate, and the sample effort of the survey from which the data were taken (0.44 samples km− 2) was excessive.udud
机译:当基于克里金法的方差不适用时,本文提出了一种质量措施来计划地统计土壤调查。该标准是从提议的样本设计的两个非巧合实例得出的估计值的一致性。我们考虑的是正方形样本网格,一个实例与第二个实例的网格沿行和列的偏移为网格间距的一半。如果样本网格相对于目标属性的重要变化尺度而言是粗糙的,则来自两个实例的预测的一致性预计会很小,并且可以通过减小网格间距来增加。一致性的度量是样本网格的两个实例的估计值之间的相关性,这些估计值是在网格单元上平均的。我们称其为偏移相关,它可以从变异函数中计算出来。针对某些假设示例说明了此质量度量,同时考虑了感兴趣变量的普通克里金法和阶乘克里金法。考虑了阶乘克里金法的情况,因为在计划进行小规模的天气地球化学调查时,我们可能只希望在某些空间尺度上绘制目标变量变化的分量。然后,根据英格兰东北部土壤中镍,铬和钴含量的数据估算出的变异函数,计算出普通克里金法和因子克里金法的质量度量。我们的结果表明,偏移相关性如何响应样本密度和变异函数图的形式,以及在给定密度下,阶乘克里金法比普通克里金法可以实现更大的相关性。土壤金属数据的结果表明,以5公里的间隔(英格兰和威尔士全部地区的采样密度)采样无法获得0.8的偏移相关性(普通克里金法)。但是,如果目标是通过阶乘克里格法绘制(主要由母体材料驱动)变异的较粗尺度分量,则对于两种金属(Co和Cr),5 km网格就足够了,从中获取数据的调查(0.44个样本km-2)过多。 ud ud

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    Lark R.M.; Lapworth D.J.;

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