Spatial-temporal event prediction: a new model

A new model for predicting the probability of occurrence of spatial-temporal random events is proposed based on the theory of point patterns. The model allows for the incorporation of observed event characteristics or features into space-time prediction. Effective and efficient prediction also involves identifying the key characteristics or features that explain the spatial pattern as a preliminary step. A clustering-based criterion is presented to address the feature subset selection problem.