GIS Tract Lease Management Spatial Linking
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Solution Overview
Problem
Tract-based lease data management systems require complex data entry and lack spatial capabilities, making it time-consuming to generate visual reports and maps, as they require manual drafting by specialized personnel.
Innovation Solution
Enhancing tract-based lease data management systems with geographic data by linking spatial features to database entities, allowing automatic updating and rebuilding of dependent entities, thereby simplifying complexity and enabling the generation of visual reports and maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tract-based lease data management systems are used, then reporting capability is improved, but data entry complexity and time increase
Solution Approach 1:
The system automatically generates spatial features and updates dependent entities without requiring manual drafting by specialized personnel. The automatic updating mechanism allows the system to serve itself by maintaining data integrity and generating visual reports without human intervention in the drafting process.
Solution Approach 2:
The system pre-establishes spatial capabilities and relationships between database entities before reporting is needed. By linking spatial features to lease data in advance and setting up automatic updating rules, the system prepares the visual reporting infrastructure beforehand, eliminating the need for time-consuming manual drafting when reports are required.
2Measurement precision
If manual drafting by specialized personnel is used, then visual report accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system automatically generates spatial features and updates dependent entities without requiring manual drafting by specialized personnel. The automatic updating mechanism allows the system to serve itself by maintaining data integrity and generating visual reports without human intervention in the drafting process.
Solution Approach 2:
The patent replaces the mechanical process of manual drafting by specialized personnel with an automated computer-based system. The system uses database triggers and programmed logic to automatically generate and update spatial features, substituting human manual operations with automated computational processes that maintain accuracy while reducing time consumption.
3Adaptability or versatility
If spatial capabilities are added to lease data management, then visual reporting capability is improved, but system complexity increases
Solution Approach 1:
The patent merges spatial capabilities with the existing lease data management system by integrating spatial features directly into the database structure. Instead of creating a separate complex spatial system, the invention combines spatial data storage, manipulation, and visualization capabilities with the existing lease management database, allowing visual reporting to emerge from the integrated system rather than adding standalone complexity.
Solution Approach 2:
The system design allows database entities to serve multiple functions - storing both lease data and spatial features, and automatically updating both types of information through triggers. This multi-functionality reduces the need for separate specialized systems and procedures, managing complexity by making existing components do more work rather than adding dedicated new components for each function.
Data Source
AI summary
A improved tract-based lease data management systems is described that allow for rendering maps of database entities with reduced data entry. The invention includes methods for linking, unlinking, detecting invalidating changes, and rebuilding database entity geographical representations.