Computes the ordinary kriging estimates of a variable at positions on a grid from data and a model variogram.
Form of the data
Allows you to specify the form of the data.
Data
Used to enter the data. If the form of the data is one-dimensional then the data should be in a variate and if
the form is two-dimensional the data should be in a matrix.
Model
Model to be fitted to the variogram.
Positions (1-Dimensional Only)
Positions or interval.
Y-Positions (2-Dimensional Irregular Only)
Y-Positions or interval.
X-Positions (2-Dimensional Irregular Only)
X-Positions or interval
Bounds
Specifies the X and Y bounds of the region to be examined.
Block
Dimensions (length and height) of block.
Nugget Variance
Specifies the nugget variance.
Gradient (Power Model Only)
Slope of the unbounded component
Exponent (Stable and Power Models Only)
Power for the stable model or the power of the unbounded component for the power model.
Sill Variance (Excluding Power Model)
Sill variances of the spatially dependent component.
Range (Excluding Power Model)
Ranges of the spatially dependent component.
Form of Variogram
Allows the variation to be defined as either isotropic or anisotropic (Burgess or Geometric).
Anisotropic Model Parameters
Used to enter the parameters for when the form of the variogram is anisotropic. There are three parameters;
Phi which is the angle in radians of the direction of maximum variation, the maximum gradient of the
model and the minimum gradient.
See Also