방법 비교

	Local Ordinary Kriging	코크리깅: 다변량 지공간 보간법
분야	공간분석	공간분석
계열	Regression model	Regression model
기원 연도	1970s–1990s	1965-1978
창시자	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Matheron, G.; extended by Journel & Huijbregts
유형	Geostatistical interpolation (local/moving-window variant)	Geostatistical interpolation
원전	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
별칭	moving window kriging, local kriging, neighborhood kriging, LOK	cokriging, co-regionalization kriging, multivariate kriging, CK
관련	5	5
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.	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.