Сравнение методов

	Кокригинг: Многомерная геостатистическая интерполяция	Универсальный кригинг (кригинг с трендом)
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1965-1978	1969
Автор метода	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron
Тип	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Основополагающий источник	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Другие названия	cokriging, co-regionalization kriging, multivariate kriging, CK	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Связанные	5	3
Сводка	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.