قارن الطرق

	التّحريج العادي للزمكان	كرِيجة الزمكان
المجال	التحليل المكاني	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	1999	1999
صاحب الطريقة	Kyriakidis & Journel (seminal review); Cressie & Huang (covariance models)	Cressie & Huang; Kyriakidis & Journel
النوع	Geostatistical interpolation	Geostatistical interpolation
المصدر التأسيسي	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.
الأسماء البديلة	STOK, spatio-temporal ordinary kriging, ordinary space-time kriging, ST-OK	spatiotemporal kriging, ST-kriging, space-time geostatistical interpolation, kriging in space-time
ذات صلة	4	4
الملخص	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.