Сравнение методов

	Глобальный кригинг	Локальный кригинг (кригинг в скользящем окне)
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1960s–1993	1990
Автор метода	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Haas, T. C.
Тип	Geostatistical interpolation	Spatial interpolation (local variant)
Основополагающий источник	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.
Другие названия	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	moving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging
Связанные	5	3
Сводка	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.