Spatial Filter for Geo-Enriched Data Visualization
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Solution Overview
Problem
Current computing systems face challenges in effectively managing and visualizing large datasets by efficiently filtering and processing geo-enriched data for both spatial and non-spatial visualizations, leading to suboptimal data presentation and analysis.
Innovation Solution
A system that sends spatial filters and queries to a geo-enriched data system to generate and display spatial and non-spatial visualizations, allowing for the filtering of geo-enriched data based on geographical elements, distance, and other criteria, with the ability to modify filters dynamically to update visualizations in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spatial filters are applied to filter geo-enriched data for visualizations, then the precision of data selection is improved, but the complexity of data processing increases
Solution Approach 1:
The patent introduces a spatial filter as an intermediary component that mediates between the raw geo-enriched data and the visualization system. The spatial filter processes spatial relationships and filtering logic separately, then provides filtered results to both map and non-map visualizations, reducing the complexity burden on the main data processing system while maintaining high selection precision.
Solution Approach 2:
The patent segments the data processing system into distinct modular components: a spatial filter module that handles spatial querying and filtering, a data retrieval module that fetches geo-enriched data, and visualization modules that render results. This segmentation allows each component to specialize in specific tasks, improving data selection precision while managing overall system complexity through clear separation of concerns.
2Adaptability or versatility
If multiple queries are sent for different visualization types, then the versatility of data presentation is improved, but the time consumption increases
Solution Approach 1:
The patent implements preliminary spatial filtering before data retrieval for different visualization types. The spatial filter pre-processes and filters geo-enriched data based on spatial criteria, so that when multiple queries are needed for different visualizations, the filtering work has already been done, reducing redundant processing time while maintaining versatility in presentation options.
Solution Approach 2:
The patent merges the spatial filtering operation across multiple query requests. Instead of applying spatial filters separately for each visualization type (map and non-map), the system performs a unified spatial filtering operation that serves multiple visualization needs simultaneously, reducing total query processing time while maintaining adaptability for different presentation formats.
3Speed
If real-time updates are implemented when spatial filters are modified, then the responsiveness of the system is improved, but the computational load increases
Solution Approach 1:
The patent implements a feedback mechanism where modifications to spatial filters trigger automated re-querying and re-rendering of visualizations. When a user modifies a spatial filter, the system detects this change, re-applies the filter to retrieve updated geo-enriched data, and refreshes the affected visualizations. This feedback loop provides real-time responsiveness while managing computational load through efficient change detection and targeted updates rather than full system re-processing.
Data Source
AI summary
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program sends a second computing system a spatial filter and a first query for a first set of geo-enriched data associated with a spatial visualization. The program further sends the second computing system the spatial filter and a second query for a second set of geo-enriched data associated with a non-spatial visualization. The program also receives, from the second computing system, a subset of the first set of geo-enriched data. The program further receives, from the second computing system, a subset of the second set of geo-enriched data. The program also generates the spatial visualization to include the subset of the first set of geo-enriched data. The program further generates the non-spatial visualization to include the subset of the second set of geo-enriched data.