Sammenlign metoder

	Ordinary Kriging	Universel Kriging (Kriging med en Trend)
Fagområde	Rumlig analyse	Rumlig analyse
Familie	Regression model	Regression model
Oprindelsesår	1963	1969
Ophavsperson	Georges Matheron (formalising D.G. Krige's empirical work)	Georges Matheron
Type	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Oprindelig kilde	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Aliasser	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Relaterede	4	3
Resumé	Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.	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.