The course aims to present and apply geostatistical methods and spatial interpolation models in order to define regionalized variables.

The sampling phase (data acquisition) includes:

Statistical analysis (explanatory data analysis): Analysis of spatial and statistical properties of data analysis, distribution, identification and elimination of trends, identification of anisotropies, etc.

Interpolation Calculation of statistical prediction surface and error map. The prediction of the unknown values occurs through the variogram model, the spatial configuration of the data and the value of the measured points.

Estimate of the experimental variogram and choice of the model to be used.

Diagnostics: qualifies the prediction of unknown values. Error analysis: cross validation, validation points, etc.

The data processing phase involves:

Kriging (geostatistical procedures: spatial correlation hypothesys between the measured values).

Variograms.

- Teacher: Mara Lombardi