14. The method of claim 12 , the method further comprises: generating a closed-world submodel based upon the observed data, the closed-world submodel being used to generate the probabilities of previously observed events recurring; generating an open-world submodel by evaluating a likelihood of observing the non-observed data over a future period of time, the open-world submodel being used to generate the probabilities of previously non-observed events occurring; and combining outputs of the closed-world submodel and the open-world submodel based upon a weight to yield the prediction.
14. The method of claim 12 , the method further comprises: generating a closed-world submodel based upon the observed data, the closed-world submodel being used to generate the probabilities of previously observed events recurring; generating an open-world submodel by evaluating a likelihood of observing the non-observed data over a future period of time, the open-world submodel being used to generate the probabilities of previously non-observed events occurring; and combining outputs of the closed-world submodel and the open-world submodel based upon a weight to yield the prediction. 17. The method of claim 14 , generating the open-world submodel further comprising distributing probabilities associated with non-observed data based upon an analysis of spatial trends.