Global Ordinary Kriging
Global Ordinary Kriging (GOK) is the canonical geostatistical interpolation method that estimates values at unsampled locations as a weighted linear combination of nearby observations. It fits a single variogram model to the entire dataset, enforcing a global stationarity assumption, and produces optimal unbiased predictions along with quantified prediction uncertainty at every interpolated point.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. · ISBN 978-0471002550
- Chiles, J.-P., & Delfiner, P. (2012). Geostatistics: Modeling Spatial Uncertainty (2nd ed.). Wiley. · ISBN 978-0470183151
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
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