手法を比較

	ベイズ正規クリギング	Ordinary Kriging
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1993	1963
提唱者	Handcock & Stein (1993); Diggle & Ribeiro (2007)	Georges Matheron (formalising D.G. Krige's empirical work)
種類	Bayesian geostatistical interpolation	Geostatistical interpolation
原典	Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
別名	Bayesian kriging, BOK, geostatistical Bayesian interpolation, Bayesian spatial prediction	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
関連	5	4
概要	Bayesian Ordinary Kriging is a geostatistical interpolation method that combines classical ordinary kriging with a Bayesian framework to jointly estimate the spatial covariance parameters and produce predictions at unsampled locations. Unlike plug-in kriging, it propagates uncertainty about variogram parameters through to the predictive distribution, yielding more honest uncertainty quantification.	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.