Progressive Digital Map Display for Visual Clarity
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Solution Overview
Problem
Legacy approaches for displaying digital maps often result in poor representations of information, with limited data leading to either omitting useful information or overwhelming users with too much data, making it difficult for effective visual interpretation.
Innovation Solution
A system that determines information to be displayed in a map by analyzing parameters for settlements and roads, using score-based and proximity-based methods to assign zoom levels and display labels and roads, ensuring popular and useful information is showcased while omitting less relevant details, thereby improving visual clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all available data is displayed in the map, then information completeness is improved, but visual clarity and ease of interpretation deteriorate due to overwhelming data clutter
Solution Approach 1:
The system dynamically changes display parameters (zoom level, label visibility, detail level) based on user interaction and context. At different zoom levels, the system selectively displays or omits specific information types - showing detailed road networks and labels at higher zoom levels while displaying only major features at lower zoom levels, thus maintaining visual clarity while preserving information completeness
Solution Approach 2:
The map display transitions from static to dynamic, automatically adjusting which information is displayed based on zoom level, user location, and interaction patterns. The system continuously adapts the information set shown to current user needs, ensuring optimal visual clarity at each moment while maintaining access to complete information through on-demand loading
2Loss of information
If detailed information is displayed at all zoom levels, then information completeness is improved, but device complexity and processing requirements worsen
Solution Approach 1:
The information display is segmented into different layers and categories (roads, labels, points of interest, boundaries) that can be independently controlled and loaded. Each segment is loaded only when needed based on zoom level and user context, reducing overall system complexity while ensuring complete information is available when required
Solution Approach 2:
The system performs preliminary actions by pre-categorizing and organizing map data into zoom-level-specific groups before display. Information is pre-processed and structured so that only relevant segments need to be activated at any given time, reducing real-time processing complexity while maintaining information completeness
3Loss of information
If labels for all settlements are displayed, then information completeness is improved, but legibility and visual clarity worsen due to label overlap and clutter
Solution Approach 1:
The system changes label display parameters dynamically based on zoom level and spatial context. Labels are selectively shown or hidden, and their size, font, and position are adjusted according to the current view scale and surrounding features, ensuring legibility is maintained while preserving access to complete settlement information
Solution Approach 2:
The system applies preliminary anti-action by proactively preventing label overlap through intelligent placement algorithms and visibility control. Labels are positioned and sized in advance to avoid conflicts with other map features and each other, maintaining legibility while ensuring all settlement information remains accessible through alternative display methods
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods to determine information to be displayed within a display of a map.