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。
Based on geostatistics regionalization variable and variogram, kriging interpolation technology was described in detail.
针对这个问题详细阐述了空间不完备数据的检测和填补方法，重点介绍了基于克里格插值法的空间数据填补方法。
The detecting methods and resume methods are particularly introduced in this paper, emphasis on the resuming methods of incomplete spatial data base on kriging interpolation algorithm.
介绍了一些在地质统计学上常用的算乱数据插值方法，包括移动平均法、克里格法等。
Introducing some interpolation algorithms in the geology statistics that are usually used including of Moving Average Method, Krige etc.
综合了井间参数预测方法，利用交叉验证的方法，证明了克里格是最理想的地质插值方法。
Integrating the inter-well parameters prediction methods with cross-check method, Kriging interpolation method proved to be the most ideal geological interpolation method.
根据空间自相关性，可以用普通克里格法和反距离加权平均法生成插值图。 所产生的多幅地图较合理地显示了小麦白粉病的地理空间分布格局。
Based on these results, interpolated graphs could be created with Ordinary Kriging and IDW methods to show the overall pattern of geographic distribution of wheat powdery in China.
根据空间自相关性，可以用普通克里格法和反距离加权平均法生成插值图。 所产生的多幅地图较合理地显示了小麦白粉病的地理空间分布格局。
Based on these results, interpolated graphs could be created with Ordinary Kriging and IDW methods to show the overall pattern of geographic distribution of wheat powdery in China.
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