Abstract: Methods and systems are described of location-based features using partition mapping. For example, the system may receive a user request for a location-based feature corresponding to a first location. The system may then determine a global-positioning coordinate of the first location and a first set of global-positioning coordinates defining a first grid partition in a global partition map, wherein a shape of the first grid partition corresponds to a polygonal face of a spherical polyhedral. The system may then determine whether the global-positioning coordinate is located within the first set of global-positioning coordinates. The system may then, in response to determining that the global-positioning coordinate is located within the first set of global-positioning coordinates, determine that the first location corresponds to the first grid partition.

Abstract: A system, method and framework incorporates one or more analytical engines and sensitivity models to process data and project real-time or near-real-time threats, risks, vulnerabilities and/or opportunities statically or continuously. Response assessments can be reflected on a graphical interface so as to provide a consolidated depiction of threats, risks, vulnerabilities and/or opportunities. Response assessments can also be reflected as one or more signal controls to a physical device.

Abstract: The present invention provides a system and method for geospatially enabling electronic communication protocols. The automatic attachment of additional information to standard communication protocols georeferences the origin and destination of all data passing through the protocols. Georeferenced data transport allows for efficient aggregation from and broadcast to spatial regions and locations through a spatially hierarchical routing network that processes, filters, and redirects data at the lowest level possible. Georeferencing also facilitates location-sensitive data requests and continuously updating situational awareness.

Abstract: A communication system and method coordinates data collection resources, both in the field and remotely, in real-time so as to rapidly collect, organize and manage frequently changing geospatial information on a cellular level. The present invention further provides a system and method for ensuring the accuracy of data collection, including a rewards system which can reward formal and informal/ad hoc “field” agents for providing information pertaining to particular cells within an area of interest.

Abstract: A forecasting engine and method assists in rapidly and accurately forecasting occurrences of identifiable events and/or results 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 functional measurements and analysis associated with elements of the geospatial boundary being considered. The present invention provides highly refined modeling processes to assist in quickly focusing on the proper measurement type and/or variable type, and detailing analysis around the most relevant factors. In this way, the present invention allows for more rapid and more accurate assessment determinations. In one aspect, the present invention provides a decision support system for assisting in the determination of potentially successful commercial locations.

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.