As you read this chapter and the next two, remind yourself that what you see in data may be different than what you might expect to see. Your view might be obstructed and/or not in sharp focus. Spatial predictive models can fill in the gaps and clear up your vision, but what you see in the data is still a “guess” at what is really there. We use statistical prediction methods that quantify these guesses with their associated prediction variances. Now, up the ante – include time as well and try to forecast the future … even in places where there are no current or past data! We show how this is possible in the pages that follow.