An interpolation technique based on the premise that spatial variation continues with the same pattern
Method of interpolating point data to a grid Uses statistical theory and a multi-step approach
Kriging is a linear regression prediction using data of the same attribute as that being estimated
Name for an interpolation technique using information about the stochastic aspects of spatial variation; named after D G Krige
A form of statistical modelling that interpolates data from a known set of sample points to a continuous surface
A weighted, moving-average estimation technique based on geostatistics that uses the spatial correlation of point measurements to estimate values at adjacent, unmeasured points (Hunsaker and Carpenter 1990, xxiii)
A local interpolation method, which assumes that the spatial variation of an attribute includes a spatially correlated component, representing the variation of the regionalized variable
An interpolation technique for obtaining statistically unbiased estimates of surface elevations from a set of control points Pronounced creeging L
A weighted-moving-average interpolation method where the set of weights assigned to samples minimizes the estimation variance, which is computed as a function of the variogram model and locations of the samples relative to each other, and to the point or block being estimated