Variable Grid Method for Simultaneously Visualizing Spatial Data Trends and Uncertainty
DOE-NETL, PA, United States
NETLâ€™s Variable Grid Method (VGM) allows users to identify spatial patterns, trends, and uncertainties in data and interpretations, enabling identification of research biases and knowledge gaps. This highly-adaptable approach can be used to support a variety of research, management, and decision-making needs.
Primary Application Area: IT, Cyber-Security, Software
Technology Development Status: Prototype
Technology Readiness Level: TRL 4
FIGURES OF MERIT
Value Proposition: The VGM is an easy-to-understand approach to simultaneously visualizing spatial data trends and their uncertainty. When integrated with existing or future data visualization programs, it provides a simple and effective way to show and understand data trends and quantify underlying uncertainty.
Organization Type: Academic/Gov Lab
Showcase Booth #: 728
GOVT/EXTERNAL FUNDING SOURCES
Government Funding/Support to Date:
Primary Sources of Funding: Federal Grant, Other
Looking for: Development / License Partners