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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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Ordinary Kriging Spatial Interpolation

Rekod kaedah taksonomik · regression-model / spatial-analysis

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

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Taxonomic bucketCo-krigingmachine-suggested · Relational suggestion, not evidence.Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Same method familyUniversal Krigingmachine-suggested · Relational suggestion, not evidence.