Using disjunctive kriging with declustering to create a prediction map

Pasos:

1. Click the Geostatistical Analyst Wizard button on the Geostatistical Analyst toolbar.
2. Choose Kriging/CoKriging, choose a dataset and attribute field, then click Next.
3. Choose Disjunctive, set Transformation type to Normal Score, then set Decluster before transformation to True.
4. Specify the desired parameters on the Declustering dialog box and click Next.
5. Specify the desired parameters on the Normal Score Transformation dialog box and click Next.
6. Specify the desired parameters on the Semivariogram/Covariance Modeling dialog box and click Next.
7. Specify the desired parameters on the Searching Neighborhood dialog box and click Next.
8. Examine the results on the Cross Validation dialog box and click Finish.
9. Click OK on the Method Report dialog box.

Sugerencia:

If you use a normal score transformation and your data has been preferentially sampled (higher densities of points in some areas), declustering the data is a good option to include in the model.