مقایسهٔ روش‌ها

	کریدجین معمولی سراسری	کو-کرایجینگ: درون‌یابی ژئواستاتستیکی چندمتغیره
حوزه	تحلیل فضایی	تحلیل فضایی
خانواده	Regression model	Regression model
سال پیدایش	1951–1963	1965-1978
پدیدآور	Danie G. Krige; formalized by Georges Matheron	Matheron, G.; extended by Journel & Huijbregts
نوع	Geostatistical interpolation	Geostatistical interpolation
منبع بنیادین	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
نام‌های دیگر	ordinary kriging, OK, global kriging, stationary ordinary kriging	cokriging, co-regionalization kriging, multivariate kriging, CK
مرتبط	5	5
خلاصه	Global Ordinary Kriging (GOK) is the canonical geostatistical interpolation method that estimates values at unsampled locations as a weighted linear combination of nearby observations. It fits a single variogram model to the entire dataset, enforcing a global stationarity assumption, and produces optimal unbiased predictions along with quantified prediction uncertainty at every interpolated point.	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.