Linganisha mbinu

	Ukriging wa Kawaida wa Ulimwengu	Uhusiano wa Kiasilia
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1951–1963	1950
Mwanzilishi	Danie G. Krige; formalized by Georges Matheron	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
Aina	Geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
Chanzo asilia	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Majina mbadala	ordinary kriging, OK, global kriging, stationary ordinary kriging	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
Zinazohusiana	5	5
Muhtasari	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.	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.