Interactive Geocoded Data Visualization via Relationship Mapping
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Solution Overview
Problem
Current data visualization systems lack the ability to effectively interactively map time-series geocoded data, making it difficult to analyze and understand complex geographical data sets, such as sports game statistics, by failing to visualize inherent relationships among geocoded data.
Innovation Solution
A system and method that includes visualization circuitry to access time-series geocoded data, develop relationship data, select a data display mode, filter and transform the data to generate an area map, and synchronize displays with streaming video, allowing for interactive visualization of geocoded data in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional data visualization methods are used to display geocoded data, then the data can be displayed in a basic format, but the inherent relationships among the data cannot be effectively visualized or analyzed
Solution Approach 1:
The patent segments the visualization system into multiple functional modules including relationship development module, display mode selection module, data filtering module, and transformation module. Each module handles specific aspects of data processing and visualization, allowing complex relationship mapping while maintaining manageable system structure through modular design
Solution Approach 2:
The patent introduces relationship data as an intermediary element that mediates between raw geocoded data and visual representation. This relationship data captures spatial, temporal, and contextual relationships, serving as a bridge that enables effective visualization of data connections without requiring direct complex processing between all data points
2Loss of information
If comprehensive geocoded data is processed and visualized, then complete data relationships can be analyzed, but the processing time and computational resources increase significantly
Solution Approach 1:
The patent performs preliminary actions by pre-developing relationship data from geocoded data before actual visualization occurs. The system pre-processes spatial relationships, temporal patterns, and contextual connections, storing them in an optimized format that enables rapid retrieval and visualization without requiring intensive real-time computation
Solution Approach 2:
The patent implements partial action by allowing users to select specific display modes and filter data subsets based on visualization needs. Rather than processing and displaying all possible relationship data simultaneously, the system selectively processes only the relevant portion of data required for the current visualization context, reducing overall processing time
3Adaptability or versatility
If multiple data display modes are provided for different data types, then the system can accommodate diverse visualization needs, but the system complexity and difficulty of operation increase
Solution Approach 1:
The patent creates a universal display mode selection mechanism that handles multiple data types and relationship categories through a unified interface. The same basic interaction paradigm works for spatial relationships, temporal patterns, and contextual data, allowing one system to serve multiple visualization functions without requiring separate complex interfaces for each data type
Solution Approach 2:
The patent implements self-service through automatic display mode selection based on the characteristics of the geocoded data being visualized. The system automatically determines appropriate display modes, filters, and transformations based on data properties, reducing the burden on users to manually configure complex visualization parameters while still providing access to multiple display options when needed
Data Source
AI summary
A method and systems for generating interactively mapped data visualizations are provided. The system includes geocoded data and a user interface for displaying visualized geocoded data. A visualization circuitry is configured to access the time-series geocoded data, obtain activity data, develop relationship data according to the obtained activity data to reflect relationships among the time-series geocoded data, select a data display mode and process the time-series geocoded data by receiving a selection, generating an area map, filtering the time series geocoded data, associating the relationship data with the filtered time series geocoded data, transforming the filtered time series geocoded, and generating a display of the displayable data.