مقایسهٔ روش‌ها

	کریدجین معمولی سراسری	کریجینگ معمولی
حوزه	تحلیل فضایی	تحلیل فضایی
خانواده	Regression model	Regression model
سال پیدایش	1951–1963	1963
پدیدآور	Danie G. Krige; formalized by Georges Matheron	Georges Matheron (formalising D.G. Krige's empirical work)
نوع	Geostatistical interpolation	Geostatistical interpolation
منبع بنیادین	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
نام‌های دیگر	ordinary kriging, OK, global kriging, stationary ordinary kriging	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
مرتبط	5	4
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.	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.