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条件地质统计学模拟

条件地质统计学模拟——最常见的实现方式是顺序高斯模拟(SGS)——生成空间随机场的多个随机实现,每个实现都与观测到的样本数据和拟合的变异函数模型一致。与仅产生单一平滑估计值的克里金法不同,SGS能够重现现象的全部空间变异性。它被需要通过下游模型传播空间不确定性的地质学家、矿业工程师、石油工程师和环境科学家广泛使用。

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来源

  1. Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 978-0-19-511538-3

如何引用本页

ScholarGate. (2026, June 2). Sequential Gaussian Simulation (Conditional Simulation). ScholarGate. https://scholargate.app/zh/spatial-analysis/conditional-simulation

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ScholarGateConditional Geostatistical Simulation (Sequential Gaussian Simulation (Conditional Simulation)). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/conditional-simulation · 数据集: https://doi.org/10.5281/zenodo.20539026