विधियों की तुलना करें

	Robust Kriging	स्थानिक स्वसहसंबंध
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1980	1950
प्रवर्तक	Noel Cressie & Douglas M. Hawkins	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
प्रकार	Robust geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
मौलिक स्रोत	Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
संबंधित	4	5
सारांश	Robust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data.	Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.