Salīdzināt metodes

	Globālā krigēšana	Lokālā kriginga metode (kustīgā loga kriginga metode)
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1960s–1993	1990
Autors	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Haas, T. C.
Tips	Geostatistical interpolation	Spatial interpolation (local variant)
Pirmavots	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769.
Citi nosaukumi	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	moving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging
Saistītās	5	3
Kopsavilkums	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.	Local Kriging is a spatially adaptive geostatistical interpolation method that restricts each prediction to a moving neighborhood of nearby observations, fitting a variogram model locally within that window. This allows spatial covariance structure to vary across the study region rather than imposing a single global variogram, making it better suited to large or non-stationary spatial fields.