Display Control Device Spatial Region Index Visualization
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Solution Overview
Problem
Visualizing multiple indexes related to data using box plots becomes cumbersome when a large number of plots are displayed on the same screen, making it difficult to recognize and analyze the data effectively.
Innovation Solution
A display control device and method that acquires data for spatially divided regions, calculates three indexes (average, standard deviation, and time axis reliability), and displays a visualized image using color elements of a color space to represent each region, facilitating comparison across multiple regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of box plots are arranged on the same screen to visualize multiple indexes, then the quantity of visualized data increases, but the ease of operation and visual recognition deteriorates
Solution Approach 1:
The patent merges multiple indexes (average, standard deviation, time axis reliability) into a single color-coded visual representation. Each region is displayed with a color that encodes all three indexes simultaneously, allowing users to compare multiple indexes across many regions without arranging multiple box plots on the screen.
Solution Approach 2:
The patent uses color changes to represent different index values. By mapping index values to color properties (hue, saturation, brightness), the system enables intuitive visual comparison of multiple indexes across spatially divided regions, replacing the need for numerous discrete box plots with a unified color-coded map.
2Loss of information
If multiple indexes are visualized using traditional box plots, then the completeness of data representation improves, but the device complexity and difficulty of analysis increases
Solution Approach 1:
The patent creates a universal visualization system where a single color-coded display serves multiple functions: representing average values, standard deviations, and time axis reliability simultaneously. This multi-functional approach eliminates the need for separate visualization components for each index, reducing overall system complexity while maintaining data completeness.
Solution Approach 2:
The patent transforms multiple statistical parameters (average, standard deviation, reliability) into a unified color parameter representation. By changing the representation form from discrete numerical plots to continuous color gradients, the system simplifies the visualization mechanism while preserving all essential data characteristics.
Data Source
AI summary
An acquisition unit (22) acquires a value corresponding to the number of aggregation targets that are present, the number being collected in a predetermined time unit for each region obtained by virtually dividing a real space, a calculation unit (24) calculates each of three different indexes from the acquired value, and a control unit (26) displays, on a display unit, a visualized image in which a pixel value obtained by associating the three indexes calculated with three elements of a color space, respectively, is set as a pixel value indicating the region.