Regression modelGIS / spatial
Ordinary Kriging
Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.
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Sources
- Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI: 10.2113/gsecongeo.58.8.1246 ↗
- Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). Wiley-Interscience. ISBN: 978-0471002550
Related methods
Referenced by
Bayesian Co-KrigingBayesian KrigingBayesian Ordinary KrigingBayesian Universal KrigingCo-krigingGlobal Co-KrigingGlobal KrigingGlobal Ordinary KrigingGlobal Universal KrigingLocal KrigingLocal Ordinary KrigingLocal Universal KrigingPanel KrigingPanel Ordinary KrigingPanel Universal KrigingRobust Co-KrigingRobust KrigingRobust Universal KrigingSpace-Time KrigingSpace-Time Ordinary KrigingSpace-Time Universal Kriging