Módszerek összehasonlítása

	Helyi Ordináris Kriging	Ko-kriging: Multivariáns Geostatisztikai Interpoláció
Tudományterület	Térbeli elemzés	Térbeli elemzés
Módszercsalád	Regression model	Regression model
Keletkezés éve	1970s–1990s	1965-1978
Megalkotó	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Matheron, G.; extended by Journel & Huijbregts
Típus	Geostatistical interpolation (local/moving-window variant)	Geostatistical interpolation
Alapmű	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
Alternatív nevek	moving window kriging, local kriging, neighborhood kriging, LOK	cokriging, co-regionalization kriging, multivariate kriging, CK
Kapcsolódó	5	5
Összefoglaló	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.