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Adding more variables to predict soil pollution

Now let's add additional predictors to the model with spatial interactions.

This exercise is part of the course

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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Exercise instructions

Fit another model to predict cadmium in the soil, this time including smooths for the effect of elevation (elev) and distance from the river (dist) in addition to an x, y surface.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Fit the model
mod2da <- gam(cadmium ~ s(x, y) ___, 
              data = meuse, method = "REML")

# Inspect the model
summary(mod2da)
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