เปรียบเทียบวิธี

	ครีจิงสามัญเฉพาะที่	Ordinary Kriging
สาขาวิชา	การวิเคราะห์เชิงพื้นที่	การวิเคราะห์เชิงพื้นที่
ตระกูล	Regression model	Regression model
ปีกำเนิด	1970s–1990s	1963
ผู้ริเริ่ม	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Georges Matheron (formalising D.G. Krige's empirical work)
ประเภท	Geostatistical interpolation (local/moving-window variant)	Geostatistical interpolation
แหล่งต้นตำรับ	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
ชื่อเรียกอื่น	moving window kriging, local kriging, neighborhood kriging, LOK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
ที่เกี่ยวข้อง	5	4
สรุป	Local Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging.	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.