The method of spatial interpolation is an important technology in "Precision Agriculture", this paper do primary research on several common methods of spatial interpolation.
空间插值方法是精准农业技术实现的重要方法，该文对常用于农田环境要素的空间插值方法做了初步研究。
Spatial interpolation and geostatistical methods are used to study the spatial variability of the meteorologic elements and ground water depth in the area.
在空间变异分析方面：应用空间插值、地质统计学等理论研究了灌区气象条件和地下水埋深的空间变异规律。
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.
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。
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