Spherical Polyhedral Grid Partitioning for Location Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional location-based indexing systems for computer data face inefficiencies due to reliance on governmental or organizational address schemes, which can be outdated, overlapping, or unrelated to geographic regions, leading to errors in mapping and data processing, especially in mobile applications and cloud computing environments.
Innovation Solution
The use of global-positioning coordinates to define grid partitions based on a spherical polyhedral map, providing globally consistent and temporally reliable location-based features, which minimizes distortions and ensures accurate data attribution and routing by using alphanumeric index keys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional address schemes (ZIP codes, government-sourced locations) are used for location-based indexing, then the system can leverage existing address infrastructure, but the location accuracy and geographic consistency deteriorate due to overlapping boundaries, outdated information, and non-geographic routing codes
Solution Approach 1:
The patent segments the Earth's surface into a hierarchical grid system using spherical polyhedral partitions. Each partition is defined by global positioning coordinates (latitude/longitude) and organized into multiple resolution levels. This segmentation replaces complex governmental address schemes with a standardized geometric grid, eliminating overlapping boundaries and ensuring consistent geographic representation across all locations.
Solution Approach 2:
The patent applies spherical geometry to create a polyhedral partitioning of the Earth's surface. By using great-circle distances and spherical trigonometry, the system accurately represents geographic locations on a curved surface rather than attempting to flatten the Earth onto a planar grid. This spherical approach maintains geometric consistency and accuracy for global location-based indexing.
2Measurement precision
If point-to-point distance calculations are used in mobile applications, then the system can determine user location, but the position and relationship to addresses become incorrect due to reliance on flawed address mapping
Solution Approach 1:
The patent introduces a spherical polyhedral grid partition as an intermediary layer between global positioning coordinates and address information. Instead of directly mapping GPS points to addresses (which causes errors), the system first maps coordinates to grid partitions, then uses these partitions as a reliable basis for location-based features. This intermediary grid system preserves the accuracy of point-to-point distance calculations while providing a consistent geographic reference framework.
3Productivity
If network addresses and government-sourced jurisdictional boundaries are used for data distribution, then the system can leverage existing network infrastructure, but efficiency deteriorates due to changing boundaries and increased network contention
Solution Approach 1:
The patent performs preliminary partitioning of data according to spherical polyhedral grid partitions before distribution across the network. By pre-organizing data into stable geometric regions defined by global coordinates, the system creates a persistent routing structure that does not change when governmental boundaries are updated. This preliminary organization enables efficient parallel processing and reduces network contention by minimizing the number of interfaces between data partitions.
4Productivity
If conventional geospatial location representations (floating point vectors, planar coordinates) are used, then the system can store location data, but global alphanumeric index keys required for efficient distribution are not provided
Solution Approach 1:
The patent transforms continuous floating-point latitude/longitude coordinates into discrete alphanumeric grid partition keys. Each partition is identified by a hierarchical code (e.g., level-1 region code plus level-2 subregion code) that serves as an efficient index key. This parameter transformation from continuous coordinates to discrete keys enables efficient sorting, indexing, and distribution of geospatial data across distributed computing systems while maintaining location accuracy.
Data Source
AI summary
Methods and systems are described of location-based features using partition mapping. For example, the system may receive a user request for a location-based feature corresponding to a first location. The system may then determine a global-positioning coordinate of the first location and a first set of global-positioning coordinates defining a first grid partition in a global partition map, wherein a shape of the first grid partition corresponds to a polygonal face of a spherical polyhedral. The system may then determine whether the global-positioning coordinate is located within the first set of global-positioning coordinates. The system may then, in response to determining that the global-positioning coordinate is located within the first set of global-positioning coordinates, determine that the first location corresponds to the first grid partition. The system may then retrieve a first data profile for the first grid partition and generating for display, in a user interface, the location-based feature based on the first data profile.