手法を比較

	ロバストクリギング	Ordinary Kriging
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1980	1963
提唱者	Noel Cressie & Douglas M. Hawkins	Georges Matheron (formalising D.G. Krige's empirical work)
種類	Robust geostatistical interpolation	Geostatistical interpolation
原典	Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
別名	robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
関連	4	4
概要	Robust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data.	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.