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Discussion on kriging analysis on Hong Kong rainfall data

机译:关于香港降雨数据的克里金分析的探讨

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摘要

Kriging analysis has been used very extensively for statistical estimation of the magnitude of a spatial random variable, particularly in the mining Industry. The authors have applied the technique of kriging analysis for producing rainfall contour maps. A statistical framework has been used by the authors in describing the technique of kriging analysis in their paper. As discussed in Journel and Huijbregts (1978), kriging analysis is built upon the validity of the intrinsic hypothesis. A spatially random variable, Z(x), is considered to be 'intrinsic' if the following are satisfied.
机译:克里格分析已经非常广泛地用于空间随机变量大小的统计估计,特别是在采矿业中。作者已将克里格分析技术用于生成降雨等高线图。作者在他们的论文中使用了统计框架来描述克里金分析的技术。正如Journel和Huijbregts(1978)所讨论的那样,克里格分析是建立在内在假设的有效性上的。如果满足以下条件,则将空间随机变量Z(x)视为“本征”。

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