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Kriging

克里格法

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克里格法

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克里格法

Disjunctive Kriging (DK) is in the middle of the two, which uses bivariate probability distribution function.

析取克立格法（DK）介于两者中，利用二元概率分布函数进行估计，更有效、准确且易实现。

Kriging maps comparing suggested harvesting had an obvious influence on spatial pattern for soil moisture and temperature in the spring.

克立格空间插值图的比较表明，采伐干扰对土壤表层水分、温度空间格局的影响在春季体现得最为明显。

By analyzing Kriging interpolation map, the soil nutrients of Populus euphraticu showed fertile islands can produce different effect.

通过克里格插值图分析，胡杨立地土壤养分表现出不同程度的“肥岛”效应。

The normal Kriging is a reformation and innovation to the traditional calculation of reserves .

正态化克立格法是对传统储量计算方法的改革和创新。

Based on geostatistics regionalization variable and variogram, kriging interpolation technology was described in detail.

在地质统计学区域化变量、变差函数理论基础上，介绍了克里格插值技术。

The values of sea-level air pressure should be compressed to reduce errors in the Kriging algorithm.

对量级较大的海平面气压值应进行缩小化处理；

This research used the kriging method and the AASN neural networks as the tools to construct spatial interpolation model.

本研究采用克利金法与AASN神经网路做为建构空间内插模型的工具。

Traditional methods need to fit the Spatial Variogram and then deal with the kriging estimation.

传统的方法需要先进行空间变异函数的拟合，然后进行克里格估计。

This paper also compares the Kriging and conditional simulation.

并对克立格和序贯模拟方法进行了比较。

Finally, the spherical model for ordinary kriging estimation is obtained and 3D grade model of ore -body is established.

获得了矿体品位的普通克里金估值球状模型，并建立了三维品位模型。

The Spatial Variogram plays an important role in Kriging estimation.

空间变异函数在克里格估计中占有重要地位。

This thesis based on in situ deformation test, using kriging interpolation method to research the original data.

研究结果表明：强夯变形场原始数据经过正态转换后能够进行克里格插值。

This method of design based Kriging system was developed.

本文根据克里金插值方法设计开发了克里金插值系统。

In order to improve the mapping accuracy, generally, the Kriging interpolation was used between control points of wells to map.

为了提高成图精度，在单井控制点之间一般采用克里金插值成图；

Kriging method is the most important and basic local estimation method in geostatistics.

克里格法是地质统计学中最主要和最基本的一种局部估计方法。

Kriging analysis technique was applied to study the PAHs contents and their spatial distributions in the topsoil of Tianjin area.

应用克里法研究了天津地区表层土壤中多环芳烃的含量水准及其空间分布规律。

The accuracy analysis on Kriging estimation of the geotechnical parameters random fields and a approach to the outliers processing

岩土参数随机场空间最优估计精度分析与特异值研究

Co-Kriging Estimation of the Total Nitrogen and Organic Matter in the Soil Reconstructed through Land Reclamation

复垦重构土壤中全氮与有机质的协同克立格估值

Study on spatial variability and profile distribution characteristics of soil salinity by Kriging with an electromagnetic induction

电磁感应仪用于土壤盐分空间变异及其剖面分布特征研究

Constructing Circuit Metamodel Using Kriging Interpolation Integrated with Latin Hypercube Sampling Experiment

Kriging插值与拉丁超立方试验相结合构造电路元模型

Indicator Kriging Study of Multivariate Information in Temporal-spatial Domain

时空多元指示克立格法的理论研究

Application of Kriging method for geotechnical engineering exploration and subgrade treatment and foundation design

克里格法在岩土工程勘察和地基处理与基础设计中的应用

The Kriging Interpolation Analysis of Grasshopper Density --A Case of Tiebuja Sample Region, West of Qinghai Lake

草地蝗虫密度的克立格插值分析--以青海湖西侧铁卜加样区为例

Comparison of Kriging spatial interpolation methods of non-stationary regionalized variables

非平稳区域化变量克立格插值方法的比较

Effects of the factors for spatial correlation analysis on Kriging estimation in reservoir modeling

空间相关分析因素对储层建模中克里金估计结果的影响

Application of indicator Kriging method for assessing nitrate content of regional shallow groundwater

区域浅层地下水硝酸盐含量评价的指示克立格法

Determination Method of Assessment Point of Lightning Strike Hazard in Thunderstorm by Kriging Interpolation

利用克里金插值法确定雷击风险评估点雷暴日的方法

Universal Kriging method for quantitative sandstone prediction between wells

井间砂体定量预测的泛克里格法

Spatial Variability of Water Level in Hetao Irrigation District of Inner Mongolia and Their Estimations by the Kriging

河套灌区地下水位的空间变异性及其克里金估值

Research on Using Kriging Spatial Interpolation Technology in Land Classification for Urban Area

运用克里金空间插值技术进行土地级别划分

1·From the study of basic geostatistics theories and the meaning of 5 kinds of kriging methods, this dissertation gives the conclusion that the normal distribution of data is not a necessary condition.

研究地质统计学基础理论和5种克里格法意义，本文认为数据的正态分布不是地质统计学估计方法的必要条件。