方法证据记录
Conditional Geostatistical Simulation
Conditional Geostatistical Simulation — most commonly implemented as Sequential Gaussian Simulation (SGS) — generates multiple stochastic realizations of a spatial random field that are each consistent with observed sample data and with a fitted variogram model. Unlike kriging, which produces a single smoothed estimate, SGS reproduces the full spatial variability of the phenomenon. It is widely used by geoscientists, mining engineers, petroleum engineers, and environmental scientists who need to propagate spatial uncertainty through downstream models.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Sequential Gaussian Simulation (Conditional Simulation)
分类方法记录 · regression-model / spatial-analysis
- Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. · ISBN 978-0-19-511538-3
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