Localized Nature Area Scoring And Exposure Tracking
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Solution Overview
Problem
Existing technologies lack the ability to quantify and characterize natural areas near a location, dynamically track time spent inside versus outside, and assess the amount and quality of time spent in natural areas versus built environments, lacking standardized definitions of what constitutes natural areas.
Innovation Solution
A method and system that uses various data inputs, including GIS and land classification databases, to characterize the quantity, quality, and type of natural areas, and dynamically monitor an individual's exposure to these areas, synthesizing a 'NatureScore' or 'NatureDose' for measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If no standardized measurement system is implemented, then flexibility in defining natural areas is maintained, but the ability to quantify and compare nature exposure across different locations and individuals is lost
Solution Approach 1:
The patent transforms the abstract concept of 'nature exposure' into measurable parameters by defining specific metrics: GreenScore for location-based natural area characterization and NatureDose for individual exposure quantification. This parameter transformation enables standardized measurement while maintaining system simplicity through clear, defined variables.
Solution Approach 2:
The measurement system is segmented into distinct components: location scoring (GreenScore) separate from individual exposure tracking (NatureDose). This segmentation allows each component to be developed and implemented independently, reducing overall system complexity while enabling comprehensive measurement capability.
2Productivity
If manual methods are used to assess nature exposure, then customization and flexibility are maintained, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual assessment methods with automated computational systems that calculate GreenScore and NatureDose using algorithmic processing of location data, time data, and natural area characteristics. This substitution eliminates manual labor and significantly reduces assessment time while maintaining measurement accuracy.
Solution Approach 2:
The system enables automatic self-assessment of nature exposure by individuals and organizations through automated data collection and calculation processes. The GreenScore and NatureDose metrics are computed automatically based on input data, eliminating the need for external manual evaluation and enabling scalable deployment.
3Measurement precision
If comprehensive data collection is implemented to accurately characterize natural areas, then measurement accuracy improves, but data processing complexity and resource requirements increase
Solution Approach 1:
The patent extracts and focuses on the most critical characteristics of natural areas that contribute to health benefits, rather than attempting to measure all possible attributes. The GreenScore calculation prioritizes key factors such as vegetation density, natural area proximity, and environmental quality, simplifying data processing while maintaining measurement accuracy for the most impactful parameters.
Data Source
AI summary
A method implemented in a computing device is provided, which includes collecting nature information proximate a location, and providing an output to a user characterizing the quantity, quality, and/or type of nature areas and/or elements proximate the location. In an enhanced embodiment, a method implemented in a computing device is provided which includes collecting information about the location and character of a user's activities, and providing a dynamic output to the user to dynamically monitor the quantity and quality of an individual's exposure to natural areas.