Geometric Data Conversion for Arbitrary Input Processing
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Solution Overview
Problem
Existing data processing techniques struggle to effectively handle and analyze arbitrary data, which may be unstructured or semi-structured, making it difficult to store, visualize, and process efficiently.
Innovation Solution
The method involves converting arbitrary data into geometric data or synthetic geospatial data, allowing it to be processed using tools and techniques developed for geometric or GIS data. This includes performing clustering on the data elements based on their attributes and generating geometries in a space for these elements, which can then be encoded into GIS formats for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional data processing techniques are used for structured data, then processing efficiency is maintained, but the ability to handle arbitrary unstructured data is insufficient
Solution Approach 1:
The patent transforms arbitrary data into geometric data by changing the representation parameters from traditional structured formats to spatial coordinates and geometric properties. This parameter transformation enables GIS tools to process unstructured data efficiently using their optimized geometric algorithms, thus resolving the contradiction between adaptability to arbitrary data and processing efficiency
Solution Approach 2:
The patent introduces geometric data as an intermediary representation layer between arbitrary input data and GIS processing tools. By converting arbitrary data into geometric entities with spatial coordinates, the system enables existing GIS infrastructure to handle unstructured data without requiring fundamental changes to the underlying processing engines, thereby maintaining productivity while improving adaptability
2Ease of operation
If arbitrary data is converted to geometric data, then visualization capability is improved, but data processing complexity increases
Solution Approach 1:
The patent creates a universal geometric data representation that serves multiple functions: it enables visualization through GIS tools, allows spatial analysis operations, and maintains compatibility with existing GIS infrastructure. By making the geometric representation multi-functional, the system improves visualization capability without proportionally increasing processing complexity, as the same geometric structures support multiple operations
3Stability of the object's composition
If clustering is performed on data elements based on attributes, then data organization is improved, but computational overhead increases
Solution Approach 1:
The patent performs clustering as a preliminary action during the data conversion phase, organizing data elements into geometric groups based on their attributes before subsequent GIS processing. By completing the clustering operation upfront during the transformation stage, the system achieves stable data organization for improved query performance while limiting computational overhead to a single initialization phase rather than continuous processing
Data Source
AI summary
A method for processing data performed by one or more processors, the method comprising: receiving input data that comprises a plurality of elements, each element comprising a plurality of attributes; and generating geometric data based on the input data by determining locations in a space for elements of the plurality of elements based on attributes of the elements and generating geometries in the space for the elements at the respective determined locations, wherein determining locations in the space for elements based on attributes of the elements comprises performing clustering on the elements based on attributes of the elements. The method may further comprise generating Geographic Information System, GIS, data by encoding the generated geometric data in a GIS format.