A optimal space interpolation method, Kriging method, was introduced to groundwater numerical simulation in this paper.
本文详细介绍了空间优插值方法—克里格法的原理及计算步骤，并将其应用于地下水数值模拟初始流场的形成，提高了模拟的精度和效率。
The CRI based Kriging method has been proposed for reconstruction of ionospheric f_oF_2 in China region.
提出了一种适合于中国地区电离层foF2的重构方法——以中国参考电离层为背景的改进克里格法。
The commonly used spatial interpolation methods include surface trend analysis method, triangulated irregular network method (TIN), inverse distance weighting method(IDW) and ordinary Kriging method(OK).
都市地价空间分析通常采用空间插值法 ,主要包括趋势面法、不规则三角网法、距离倒数法和克里格法。
Applications and prospects of Kriging in studies on epidemics;
克里格法在流行病研究中的应用及展望
The objective of this paper is to examine the effect of estimation of NDVI images by four geostatistical approaches, Ordinary Kriging (OK), Universal Kriging (UK), Indicator Kriging (IK) and Sequential Indicator Simulation(SIS).
研究发现,各种克里格法对NDVI图像的估值效果由高到低依次为泛克里格、普通克里格、指示克里格,通常计算方便的普通克里格法就能够满足图像恢复所要求的精度;普通克里格方差和泛克里格方差只能反映数据的构型,不能很好地衡量估值图像的不确定性,指示克里格的条件方差的分布和实际误差的分布基本一致,能够较好地衡量估值图像的不确定性,并且其大小与NDVI影像数据的不确定性大小的分布一致。
Kriging prediction of soil zinc in contaminated field by using an auxiliary variable.;
利用辅助变量对污染土壤锌分布的克里格估值
Application of General Kriging in Studying of the Bedrock Aquifer System of Middle-Upper Proterozoic In Jixian Country;
普通克里格法在蓟县中上元古界基岩含水系统研究中的应用
Indicator Kriging is one of the nonparametric geostatistical techniques good for estimating the salinity of seawater,ect.
该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细讨论了该方法的技术实现细节。
Application of universal Kriging interpolation in geomagnetic map;
泛克里金插值法在地磁图中的应用
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
Kronecker product of matrix and cokriging;
矩阵的Kronecker乘积和协克里金
Universal Kriging method for quantitative sandstone prediction between wells;
井间砂体定量预测的泛克里格法
On Similarities and Differences of European Dress Model Between Koreat Times and Middle & Late 1900s;
论克里特与19世纪中后期欧洲女装造型异同
Kronecker product of matrix and cokriging;
矩阵的Kronecker乘积和协克里金
Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis.
利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震资料与测井资料联合应用对孔隙度参数的平面分布预测。
Application of Kriging to the Reservoir Evaluation;
克里金法等在储层评价中的应用
Prior Information Residual Kriging;
基于先验信息的残余克里金法的研究
The Application of the Kriging Method to the IP Sounding Data Processing of the Qiliping Multi-metalliferous Ore;
克里金法在七里坪多金属矿激电测深数据处理中的应用