Abstract: A forecasting engine and method assists in forecasting occurrences of identifiable events and/or threats based on signature and/or pattern matching. The present invention derives signature for event-types based on a comparison of actual event data with pre-established representational surfaces. The surfaces represent proximity measurements and analysis associated with elements of the geospatial boundary being considered. The measurements and analysis can consider a vast array of potential variables of interest in order to provide a comprehensive, robust forecasting engine. In one embodiment, the present invention considers past data associated with several event-types in order to arrive at an assessment.