Web-Based Geo-Spatial Analysis Platform for Non-Technical Users
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Solution Overview
Problem
Current geo-analytics systems lack the ability to perform advanced mathematical computations and analysis on geographic information within a web browser, limiting their application in delivering geo-spatial data and analysis to non-technical users and restricting their use to specific scales and formats.
Innovation Solution
A web-enabled mapping, data management, and analysis system that utilizes a core platform for data management and analysis, enabling geo-analytics through Web 1.0 and Web 2.0 applications, with features like heatmap generation, spatial concentration indexing, and temporal analysis, accessible via a user interface or web services, using technologies like MySQL, Ruby on Rails, and OpenLaszlo for data storage, development, and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If geo-analytics systems are delivered through traditional desktop applications, then advanced mathematical computations and analysis can be performed, but accessibility to non-technical users is limited and deployment complexity increases
Solution Approach 1:
The patent replaces the traditional desktop application delivery mechanism with a web-based delivery system. Geo-analytics computations are performed server-side and results are delivered through web browsers, eliminating the need for complex client-side installations and making the system accessible to non-technical users through standard web interfaces.
Solution Approach 2:
The patent introduces a web server as an intermediary between the geo-analytics processing engine and end users. The server handles complex computations and communicates results through simplified web interfaces, acting as a mediator that shields users from underlying system complexity while maintaining advanced analytical capabilities.
2Adaptability or versatility
If geo-analytics are restricted to specific scales and formats, then system complexity is reduced, but versatility and applicability to real-world problems are limited
Solution Approach 1:
The patent creates a universal geo-analytics platform that can handle multiple data formats, scales, and analysis types through a single unified system. The server-side architecture supports diverse geospatial operations (heatmaps, spatial concentration indexing, temporal analysis) and data formats without requiring separate specialized systems, achieving multi-functionality that enhances versatility.
3Power
If advanced geo-spatial analysis capabilities are provided, then computational power is enhanced, but ease of use for non-technical users deteriorates
Solution Approach 1:
The web server acts as an intermediary that handles complex geo-spatial computations while presenting simplified interfaces to users. Advanced analytical functions are executed on the server side, and results are delivered through intuitive web-based visualizations that do not require users to understand underlying computational complexity.
Data Source
AI summary
Systems and methods are used for providing mapping, data management and analysis. Data for at least two different data sets can be accepted. A vector density analysis of each data set can be performed using: temporal analysis, intersection analysis, spatial concentration analysis, or spatial correlation analysis. Each loaded data set can rastorized. Each rasterized data set can be converted to a certain scale. A convolution operation can be performed on each converted data set. Convolution results can be applied to a color ramp. Each map can be created based on the color ramp and the convolution results. A combination map illustrating where the at least two different data sets intersects each other can be created. Proximity and magnitude of the at least two different data sets can be illustrated.