To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中
作用,非参数
质
学得到发展,
点介绍了非参数质学4种变异函数模型。
质学To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中作用,非参数质学得到发展,点介绍了非参数质学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是学要内容之一,它可对空间分布数据求线性最优、无偏内插估。
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