Spatial Data Coordinate Transformation via Drag-and-Drop
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Solution Overview
Problem
Current software for transforming spatial data between different coordinate systems is complex and time-consuming, requiring users to manually select from predefined projections and input detailed parameters, necessitating special training and repetitive processes.
Innovation Solution
A method allowing users to transform spatial data by dragging and dropping graphical representations of data sets and layers between different coordinate systems, utilizing a computer system with a pointing device, and automatically performing the necessary mathematical re-projections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a menu-driven process with predefined projections and detailed parameter input is used, then transformation accuracy can be maintained, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The patent introduces an intermediary component that automatically determines transformation parameters between coordinate systems. Instead of requiring users to manually select from predefined projections and input detailed parameters, the system automatically identifies the source and target coordinate systems and computes the appropriate transformation, maintaining accuracy while simplifying the user interface to a simple drag-and-drop operation.
Solution Approach 2:
The transformation system performs self-service by automatically detecting coordinate system parameters and computing transformation formulas without user intervention. The system autonomously handles the complex mathematical computations and parameter selections, allowing users to simply drag and drop data layers while the system independently completes the accurate transformation process.
2Reliability
If detailed parameter input and manual selection from predefined projections are required, then transformation reliability can be ensured, but the loss of time and productivity deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-configuring transformation capabilities and automatically preparing the transformation process before user execution. When data layers are dragged and dropped, the transformation is immediately initiated with pre-computed parameters, eliminating the time-consuming manual configuration steps while maintaining reliable transformation through pre-validated transformation formulas.
Solution Approach 2:
The patent replaces the mechanical manual process of selecting projections and inputting parameters with an automated computational system. The manual menu-driven interface is substituted with an automatic coordinate system detection and transformation computation engine, dramatically reducing the time required for data re-projection while ensuring reliability through systematic mathematical transformations.
3Measurement precision
If specialized knowledge and complex decision-making are required for spatial data transformation, then transformation precision can be maintained, but the ease of operation and adaptability deteriorate
Solution Approach 1:
The transformation system performs self-service by automatically detecting coordinate system parameters, identifying the appropriate transformation type, and computing transformation formulas without requiring user expertise. The system independently handles all complex decisions regarding projection selection and parameter configuration, making the tool accessible to users without specialized geographic information system knowledge while maintaining precise transformations.
Solution Approach 2:
An intermediary intelligent system acts as a mediator between the user's simple drag-and-drop action and the complex transformation process. This intermediary automatically interprets the coordinate systems, selects appropriate transformation methods, and executes the precise mathematical transformations, bridging the gap between user simplicity and transformation precision without requiring users to possess specialized knowledge.
Data Source
AI summary
A method for transforming spatial data includes displaying a first graphical representation that represents spatial data formatted in a first coordinate system and displaying a second graphical representation that represents spatial data formatted in a second coordinate system. The data represented by the first graphical representation is transformed into the second coordinate system in response to the first graphical representation being dragged and dropped onto the second graphical representation. In another aspect, a computer-readable medium contains instructions for controlling a computer system to perform a method of transforming spatial data.