Modelling a semi-variogram
The output of Spatial correlation and Cross Variogram result in a experimental semi-variogram. You can show the experimental semi-variogram values in a graph window. For these values, you need determine the 'best' semi-variogram model before a Kriging operation can be performed. The following semi-variogram models are available:
where:
h |
is the distance |
C0 |
is the nugget, parameter supplied by the user |
C0 + C |
is the sill, parameter supplied by the user |
a |
is the range, parameter supplied by the user |
k |
linear slope for the power function |
m |
power exponent (0 < m < 2) |
See also:
Spatial correlation : functionality
Graph window : Add semi-variogram model (dialog box)