Exercise

# Filling in the gaps

The final part of geostatical estimation is kriging itself. This is the application of the variogram along with the sample data points to produce estimates and uncertainties at new locations.

The computation of estimates and uncertainties, together with the assumption of a normal (Gaussian) response means you can compute any function of the estimates - for example the probability of a new location having alkaline soil.

Instructions

**100 XP**

The acidity survey data, `ca_geo`

, the missing value index, `miss`

, and the variogram model, `v_model`

, have been pre-defined.

- Complete the formula to indicate kriging with a spatial trend surface.
- Select the missing values from the data as our
`newdata`

locations. - Plot the predicted acidity from the returned object.