Hierarchical Grid Geocoding With Visual Symbols for Accessible Precision
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Solution Overview
Problem
Traditional geocoding systems rely on alphanumeric strings that are difficult to interpret, require literacy, and lack intuitive spatial context, making them less accessible and efficient, especially in densely populated areas.
Innovation Solution
A hierarchical grid system using unique symbols and emojis, organized consistently across levels, allowing users to intuitively understand geographic relationships and providing flexible, scalable location encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional alphanumeric geocoding systems are used, then location identification precision is maintained, but user accessibility and ease of interpretation deteriorate
Solution Approach 1:
The patent applies visual symbolism by assigning specific emojis/symbols to represent different geographic features and location types. This allows users to intuitively understand location characteristics through visual recognition rather than interpreting alphanumeric codes, thereby improving accessibility while maintaining precision through the structured grid system.
Solution Approach 2:
The patent introduces a hierarchical grid system as an intermediary layer between traditional coordinates and user interpretation. This grid system with visual symbols acts as a mediator that translates precise geographic data into an easily interpretable format, resolving the contradiction between precision and accessibility.
2Reliability
If fixed-length alphanumeric codes are used, then location uniqueness is ensured, but code flexibility and adaptability in densely populated areas deteriorate
Solution Approach 1:
The patent segments the geographic space into a hierarchical grid structure with multiple levels of detail. This segmentation allows the system to adapt the code length and complexity based on the specific location and required precision, providing flexibility while maintaining uniqueness through the systematic grid division.
Solution Approach 2:
The patent implements a dynamic coding system where the grid resolution and symbol representation can adapt based on population density, location importance, and user needs. This allows the system to optimize between code length and precision dynamically, improving adaptability while preserving location uniqueness.
3Measurement precision
If detailed geographic context is provided in codes, then location precision is improved, but code complexity and difficulty to remember deteriorate
Solution Approach 1:
The patent uses visual symbols and emojis to represent geographic context and location characteristics. This visual encoding conveys detailed geographic information in an intuitive and memorable way, reducing code complexity while maintaining or improving location precision through the hierarchical grid structure.
Solution Approach 2:
The patent creates a simplified visual copy of the geographic hierarchy through the emoji-based grid system. This visual representation copies the essential spatial relationships and geographic context in a more accessible format, reducing the cognitive load of remembering complex alphanumeric codes while preserving location precision.
4Measurement precision
If literacy-based coding systems are used, then precise location identification is achieved, but accessibility to non-literate or diverse linguistic populations deteriorates
Solution Approach 1:
The patent employs universal visual symbols and emojis that transcend language and literacy barriers. This visual language allows anyone, regardless of literacy level or linguistic background, to interpret and understand location information, thereby improving accessibility while maintaining precise location identification through the structured grid system.
Solution Approach 2:
The patent creates a universal geocoding system using emojis and visual symbols that function across different languages and cultures. This universal approach allows the system to serve diverse populations effectively, improving accessibility without sacrificing location identification precision through the standardized hierarchical grid structure.
Data Source
AI summary
A computer-implemented method for encoding geographic locations using a hierarchical grid system. The method involves dividing the Earth's surface into multiple grid levels, with each level further subdivided into grid cells. Each grid cell is assigned a unique identifier derived from an encoding scheme that utilizes a set of unique symbols. The unique identifier for each grid cell is generated based on the consistent positional layout of symbols within the grid. The method includes storing alias data for certain grid cells in a database, receiving input specifying a geographic location, determining the corresponding grid cell within the hierarchical grid, and generating an encoded representation of the location by mathematically deriving the associated unique identifier. This encoded representation is then outputted by the computing device, providing an intuitive and systematic method for geolocation that emphasizes user familiarity with the grid's structure.