Spatial correlation

Spatial correlation calculates some point statistics: spatial autocorrelation (as Moran's I), spatial variance (as Geary's c) and semi-variogram values g(h). Semi-variogram values are either calculculated in all directions (omnidirectional) or in a certain direction and the perpendicular direction (bidirectional). This may help you to get an impression of the nature of your point data, for instance prior to a point interpolation. Furthermore, from the output table of the Spatial Correlation operation, you can create semi-variogram models in a graph window so that necessary input parameters for a Kriging, Anisotropic Kriging or Universal Kriging operation can be determined.

As input for this operation, you can use a point map with a value domain, or a point map with a class or ID domain with an attribute table that contains one or more value columns (the attribute table must be linked to the map). The output of this operation is a table from which you can create graphs such as a semi-variogram.