手法を比較

	時空間通常クリギング	Ordinary Kriging
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1999	1963
提唱者	Kyriakidis & Journel (seminal review); Cressie & Huang (covariance models)	Georges Matheron (formalising D.G. Krige's empirical work)
種類	Geostatistical interpolation	Geostatistical interpolation
原典	Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: a review. Mathematical Geology, 31(6), 651-684.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
別名	STOK, spatio-temporal ordinary kriging, ordinary space-time kriging, ST-OK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
関連	4	4
概要	Space-Time Ordinary Kriging (STOK) is a geostatistical interpolation method that predicts a spatially and temporally varying phenomenon at unsampled space-time locations by combining the ordinary kriging assumption of an unknown, locally constant mean with a joint space-time covariance (or variogram) structure. It produces optimal, unbiased predictions along with associated estimation uncertainty.	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.