Geospatial Event Forecasting via Pre-computed Signatures
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Solution Overview
Problem
Existing geospatial modeling systems lack the ability to rapidly and accurately forecast future events or results, often requiring more computationally intense analysis that compromises speed or accuracy, and fail to consider irregular geospatial boundaries and multiple types of measurements effectively.
Innovation Solution
A system and method that utilize geospatial boundaries in irregular shapes, functional measurements, and adaptive resolution to rapidly assess likelihoods of future events by deriving signature patterns from past incidents, allowing for real-time alerts and reverse-lookup of unknown events, while focusing on relevant variables and layers for accurate assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computationally intense analysis is used to increase accuracy of event forecasting, then measurement precision is improved, but productivity deteriorates due to increased analysis time
Solution Approach 1:
The system performs preliminary actions by pre-processing geospatial data, pre-calculating distance measurements, and pre-establishing event signatures from historical data before forecasting is needed. This preparation work is stored and can be rapidly retrieved during actual forecasting operations, eliminating the need for intensive real-time computation while maintaining high accuracy.
Solution Approach 2:
The forecasting process is segmented into distinct phases: data preparation phase (offline, computationally intensive), signature derivation phase (offline, pattern recognition), and forecasting phase (online, rapid comparison). By separating these phases, the system can perform heavy computation beforehand and only execute lightweight operations in real-time, resolving the contradiction between accuracy and speed.
2Measurement precision
If traditional geospatial modeling is used for event prediction, then ease of operation is maintained, but measurement precision deteriorates due to inability to consider irregular boundaries and multiple measurement types
Solution Approach 1:
The system implements a universal geospatial framework that can handle multiple boundary types (regular and irregular), multiple measurement types (distance, area, perimeter, custom metrics), and multiple event types through a single unified architecture. The functional measurements approach provides a consistent interface for diverse analytical needs, maintaining ease of operation while significantly improving measurement precision.
Solution Approach 2:
The system allows dynamic parameter changes including customizable boundary definitions, selectable measurement types, and adjustable event criteria. Users can modify geometric parameters, measurement parameters, and analytical parameters without changing the underlying system architecture, enabling high precision forecasting while maintaining operational simplicity through flexible parameter configuration.
Data Source
AI summary
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. In another embodiment, the present invention provides a centralized portal capable of assessing multiple problems simultaneously.