Σύγκριση μεθόδων

	Μπεϋζιανή Συνήθης Κρίγκινγκ	Χωρική Αυτοσυσχέτιση
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1993	1950
Δημιουργός	Handcock & Stein (1993); Diggle & Ribeiro (2007)	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
Τύπος	Bayesian geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
Θεμελιώδης πηγή	Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Εναλλακτικές ονομασίες	Bayesian kriging, BOK, geostatistical Bayesian interpolation, Bayesian spatial prediction	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
Συναφείς	5	5
Σύνοψη	Bayesian Ordinary Kriging is a geostatistical interpolation method that combines classical ordinary kriging with a Bayesian framework to jointly estimate the spatial covariance parameters and produce predictions at unsampled locations. Unlike plug-in kriging, it propagates uncertainty about variogram parameters through to the predictive distribution, yielding more honest uncertainty quantification.	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.