So sánh phương pháp

	Kriging toàn cục	Tự tương quan không gian
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1960s–1993	1950
Người khởi xướng	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
Loại	Geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
Công trình gốc	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Tên gọi khác	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
Liên quan	5	5
Tóm tắt	Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.	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.