Сравнение методов

	Глобальный ординарный кригинг	Локальный обычный кригинг
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1951–1963	1970s–1990s
Автор метода	Danie G. Krige; formalized by Georges Matheron	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner
Тип	Geostatistical interpolation	Geostatistical interpolation (local/moving-window variant)
Основополагающий источник	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153
Другие названия	ordinary kriging, OK, global kriging, stationary ordinary kriging	moving window kriging, local kriging, neighborhood kriging, LOK
Связанные	5	5
Сводка	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.	Local Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging.