土壤中元素空间分布的体视化方法研究 关键词：vTK；C#；体视化；克里金插值；土壤 [gap=1119]Key words：VTK；C#；、d urI1e visualization；Kriging interpolation；soil
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H Gunes”捌等比较了本征模态分解（properorthogonal decomposition，POD）和克里格插值（Kriging interpolation）方法重构非平稳流场的时空缺失点，结果显示，在时间分辨率足够高的情况下，POD方法重l绪论 博上论文构精度高于Kriging方法；在时...
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Kriging interpolation method 克立克插值法
moving Kriging interpolation 滑动Kriging插值
Kriging interpolation surface Kriging插值曲面
Universal Kriging interpolation 泛克里格插值
ordinary Kriging interpolation 普通克利金内插法
Kriging Interpolation Calculation 克里金插值计算
Geostatistic kriging Interpolation 地统计Kriging插值
Using Kriging interpolation in GIS, we can find that its future space distribution on the higher class in the Middle, gradually reducing to rounds, and other counties bordering the southwest, northwest direction almost no forest fires.
利用GIS中的克里格插值(Kriging)分析发现其今后空间分布趋势是中间等级高,向四周逐渐减少,在与其他县接壤的西南、西北方向上几乎不发生森林火灾。
参考来源 - 基于3S技术森林火险区划研究The precisions and model maps of different interpolation methods were compared. Results show that mixed method, namely the combination of multiple regression and kriging interpolation method, is the best one for its high prediction accuracy verified by three validated stations.
通过3个检验站点的插值误差的比较，混合插值法，即回归克里金插值法误差最小，效果最好。
参考来源 - 期刊学术社区Fifth, the Kriging Interpolation result indicates that the changing extension of total nitrogen between 0.84‰-1.933‰, most areas reached 1.06‰. The space variation of the total nitrogen is slow, but the east-north of research area is obvious.
5.克里格差值法土壤全氮、速效磷、速效钾含量克里格差值分析:表明本研究区内全氮含量在变化范围在0.84‰-1.933‰之间,绝大多数地区土壤全氮含量在1.06‰以上,其空间变异相对较缓,只有在研究区的东北有一些地区变异较大。
参考来源 - 基于GIS与GPS的农户土壤养分空间变异及精准施肥研究In order to make the comprehensive assessment of water quality visual, Universal Kriging interpolation method is used to achieve the transformation of monitoring data from point to surface.
为了实现水质污染综合评价可视化,采用泛克里格插值方法实现监测数据由点到面的转变。
参考来源 - 煤矿塌陷水域水质影响因素及其污染综合评价方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
Precision of the Kriging interpolation of alkalytic N was improved by 42.8% considering anisotropy of spatial variability.
与各向同性相比，碱解氮在各向异性条件下克里金插值精度提高了42.8%。
The fractional geometry model of porosity and permeability was developed based on fractional Kriging interpolation principles.
同时利用分形克里金插值理论，建立了孔隙度和渗透率的分形几何模型。
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