방법 비교

	Local Ordinary Kriging	정규 크리깅
분야	공간분석	공간분석
계열	Regression model	Regression model
기원 연도	1970s–1990s	1963
창시자	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Georges Matheron (formalising D.G. Krige's empirical work)
유형	Geostatistical interpolation (local/moving-window variant)	Geostatistical interpolation
원전	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.
별칭	moving window kriging, local kriging, neighborhood kriging, LOK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
관련	5	4
요약	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.