เปรียบเทียบวิธี

	Space-Time Ordinary Kriging	Ordinary Kriging
สาขาวิชา	การวิเคราะห์เชิงพื้นที่	การวิเคราะห์เชิงพื้นที่
ตระกูล	Regression model	Regression model
ปีกำเนิด	1999	1963
ผู้ริเริ่ม	Kyriakidis & Journel (seminal review); Cressie & Huang (covariance models)	Georges Matheron (formalising D.G. Krige's empirical work)
ประเภท	Geostatistical interpolation	Geostatistical interpolation
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	STOK, spatio-temporal ordinary kriging, ordinary space-time kriging, ST-OK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
ที่เกี่ยวข้อง	4	4
สรุป	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.