Procedural Mock Map Data for Exhaustive Style Validation
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Solution Overview
Problem
Mapping service providers face challenges in observing and validating changes to map styles due to the vast number of possible combinations of map features and appearance options, which are difficult to manage and require extensive manual intervention.
Innovation Solution
A system generates procedurally created mock map data that includes all possible combinations of map feature attributes and attributes within a designated geographic area, allowing for automated validation and documentation of map styles without the need for manual editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-world map data is used for validation, then authenticity and representativeness are improved, but the ability to visualize all possible feature combinations and edit flexibility deteriorate
Solution Approach 1:
The patent creates synthetic mock map data that copies the structural and visual characteristics of real map data without using actual geographic information. This allows complete control over feature combinations while maintaining the appearance of authentic map data, resolving the contradiction between authenticity and versatility.
Solution Approach 2:
The system dynamically generates map data by varying parameters such as feature types, attributes, and spatial arrangements to create all possible combinations. This parameter-based generation allows exhaustive visualization of style combinations while maintaining data authenticity through procedural generation algorithms.
2Manufacturing precision
If manual editing of map data is performed, then precision and control over validation are improved, but time consumption and labor requirements worsen
Solution Approach 1:
The system automatically generates and arranges mock map data without requiring manual intervention. The procedural generation algorithm self-configures feature combinations, spatial arrangements, and style applications, eliminating manual editing while maintaining validation precision through automated control.
Solution Approach 2:
The system pre-generates all possible feature combinations and their corresponding visual representations before validation begins. This preliminary procedural generation eliminates the need for manual data preparation and enables immediate validation of all style combinations without time-consuming manual editing.
3Adaptability or versatility
If a large geographic area is used to display all feature combinations, then completeness of validation is improved, but area constraints and practical usability worsen
Solution Approach 1:
The patent transitions from two-dimensional geographic space to a structured multi-dimensional arrangement of feature combinations. By organizing data along multiple axes (feature type, attribute values, style parameters), the system displays all combinations within a compact virtual space, eliminating the need for large geographic areas while maintaining completeness.
Solution Approach 2:
The system segments the map data into discrete, independently controllable feature combinations and their visual representations. This segmentation allows each combination to be displayed as a separate, manageable unit within a compact area, enabling complete validation of all features without requiring extensive geographic space.
4Ease of operation
If procedurally generated mock map data is used, then ease of manipulation and automation capability are improved, but the complexity of data generation systems worsens
Solution Approach 1:
The procedural generation system is designed as a universal framework that handles multiple functions: generating various feature types, creating all attribute combinations, applying different styles, and producing valid map data formats. This multi-functional approach consolidates complexity into a single versatile system rather than multiple specialized tools, improving ease of operation while managing system complexity.
Data Source
AI summary
An approach is provided for mock map data for map design validation. For example, the approach involves calculating one or more combinations of one or more map feature attributes, one or more map feature attribute values, or a combination thereof. The approach also involves creating one or more geometric features respectively for the one or more combinations. The approach further involves determining an arrangement of the one or more geometric features within a designated geographic area. The approach further involves generating mock map data based on the arrangement and providing the mock map data to a map client. The map client, for instance, renders the mock map data in a map image based on a map style taxonomy.