手法を比較

	時空間通常クリギング	空間時間クリギング
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1999	1999
提唱者	Kyriakidis & Journel (seminal review); Cressie & Huang (covariance models)	Cressie & Huang; Kyriakidis & Journel
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.	Cressie, N., & Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94(448), 1330-1340.
別名	STOK, spatio-temporal ordinary kriging, ordinary space-time kriging, ST-OK	spatiotemporal kriging, ST-kriging, space-time geostatistical interpolation, kriging in space-time
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.	Space-Time Kriging is a geostatistical interpolation method that predicts an unknown variable at any location and time by borrowing strength from nearby observations in both space and time simultaneously. It models the joint spatial-temporal covariance structure through a space-time variogram, then uses optimal linear weights to produce predictions with quantified uncertainty.