EstimatedVariogramModel

EstimatedVariogramModel[{loc1 -> val1, loc2 -> val2, ...}] estimates the best variogram function from values vali given at locations loci.

EstimatedVariogramModel[{loc1, loc2, ...} -> {val1, val2, ...}] generates the same result.

EstimatedVariogramModel[..., "model"] estimates the best parameters of the variogram function specified by "model".

EstimatedVariogramModel[..., {"model", params}] estimates the non-numeric parameters in params.

Examples

Estimate a variogram from spatial data:

data = {{0, 0} -> 1.2, {1, 0} -> 1.5, {0, 1} -> 1.3, {1, 1} -> 1.8};
EstimatedVariogramModel[data]

Use a specific variogram model:

EstimatedVariogramModel[data, "Spherical"]

Please visit the official Wolfram Language Reference for more details.