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As a coworker prepares to make a map from the disease rates over an area,
she asks you about the relationship between interpolation and smoothing. You
check the definitions, and now understand that interpolation means fitting
the data precisely, whereas smoothing permits one to relax the fit (perhaps
the data is noisy). Now you have some questions:
- How can the noise suspected in the data be incorporated into a
map-making procedure?
- When is interpolation a good idea?
- Provided you make a map, how can you verify that it's a good one?
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