...
首页> 外文期刊>Geoderma: An International Journal of Soil Science >Designing sampling grids from imprecise information on soil variability,an approach based on the fuzzy kriging variance
【24h】

Designing sampling grids from imprecise information on soil variability,an approach based on the fuzzy kriging variance

机译:从不精确的土壤变异性信息设计采样网格,一种基于模糊克里格方差的方法

获取原文
获取原文并翻译 | 示例
           

摘要

It is shown how, given a fuzzy formulation of the variogram of a soil property, a fuzzy set of grid spacings that will achieve a target kriging variance can be derived. This fuzzy set of grid spacings can then be defuzzified in a more or less conservative way to define a sampling scheme. The method is illustrated in three examples. The first uses a hypothetical fuzzy variogram. The second is a fuzzy variogram for topsoil organic carbon content in a field, based on the crisp variogram of a related ancillary variable and generalized information on topsoil variability at field scares. The third fuzzy variogram is for topsoil pH, assuming no local knowledge but representing in fuzzy form the range of variability in a collection of variograms for this property in the soil science literature.
机译:它显示了如何给定土壤属性变异函数的模糊公式,得出可以实现目标克里金法变异的模糊网格间距集。然后可以以或多或少保守的方式对这个模糊的网格间距集进行模糊化处理,以定义采样方案。在三个示例中说明了该方法。第一种使用假设的模糊变异函数。第二个是基于相关辅助变量的明晰变异函数和有关田间惊恐情况下表土变异性的一般信息的田间表土有机碳含量的模糊变异函数。第三个模糊变异函数用于表土pH,假设没有本地知识,但以模糊形式表示土壤科学文献中为此性质的变异函数集合中的变异性范围。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号