Contaminant Visualization Map with Dynamic Heat Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for tracking environmental contaminants, such as arsenic in groundwater, are inadequate for effectively identifying contaminated areas and exposing health risks, as they rely on traditional sampling techniques rather than comprehensive visualization tools.
Innovation Solution
A method for generating a contaminant visualization map that includes markers for medical cases and contamination sources, allowing users to zoom in and out, and displaying heat maps to represent the density of affected areas, utilizing electronic devices and web servers to process patient-reported symptoms and location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sampling techniques are used to track contaminants, then the method is simple and easy to implement, but the ability to effectively identify contaminated areas and expose health risks is inadequate
Solution Approach 1:
The patent transforms contaminant tracking from traditional point-based sampling to a spatial visualization system using maps and heat maps. This dimensional change allows contaminants to be represented geographically, enabling effective identification of contaminated areas through visual patterns rather than isolated data points.
Solution Approach 2:
The system creates visual copies of contaminant data through markers and heat maps on geographic maps. These visual representations copy and amplify the information from sampling data, making contamination patterns visible and easier to interpret for public health risk assessment.
2Measurement precision
If detailed markers for each medical case are displayed on the map, then the precision of location information is high, but the map becomes cluttered and difficult to interpret at broader scales
Solution Approach 1:
The system dynamically adjusts the level of detail displayed on the map based on the zoom level. When zoomed in, detailed markers for individual medical cases are shown for precise location information. When zoomed out, these markers are replaced with heat maps that show aggregate contamination patterns, making the map easier to interpret at broader scales.
Solution Approach 2:
Different visual representations are applied to different regions of the map based on local density of cases. In areas with high case density, heat maps are used to show aggregate patterns. In areas with fewer cases, individual markers are displayed to show precise locations. This local adaptation optimizes both precision and interpretability.
Data Source
AI summary
A method for generating a visualization for tracking an environmental contaminant includes automatically generating a contaminant visualization map for a particular contaminant. The contaminant visualization map includes a plurality of markers each corresponding to a location associated with a medical case associated with exposure to the particular contaminant, and one or more markers each corresponding to a location of an identified contamination source for the particular contaminant. The method further includes receiving an indication to zoom out the contaminant visualization map, generating one or more heat maps corresponding to the medical cases associated with exposure to the particular contaminant, and updating the contaminant visualization map to be zoomed out, not display the plurality of markers each corresponding to a location associated with a medical case, and display the generated one or more heat maps.