مقایسهٔ روش‌ها

	کریجینگ جهانی مقاوم	کریجینگ معمولی
حوزه	تحلیل فضایی	تحلیل فضایی
خانواده	Regression model	Regression model
سال پیدایش	1980s–1990s	1963
پدیدآور	Developed through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statistics	Georges Matheron (formalising D.G. Krige's empirical work)
نوع	Spatial interpolation model	Geostatistical interpolation
منبع بنیادین	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
نام‌های دیگر	RUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression kriging	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
مرتبط	4	4
خلاصه	Robust Universal Kriging (RUK) is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual surface, while using robust estimators to protect the variogram and trend coefficients from the distorting influence of outlying observations.	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.