Variable Grid Method for Simultaneously Visualizing Spatial Data Trends and Uncertainty
National Energy Technology Laboratory, Pennsylvania, United States
NETL’s Variable Grid Method (VGM) allows users to identify patterns and trends associated with spatial data (i.e., characterizing geological formations), along with communicating uncertainty associated with these data and their interpretations, allowing users to identify key knowledge gaps, the need for additional research, or better guide management or policy decisions.
Primary Application Area: IT, Cyber-Security, Software
Technology Development Status: Prototype
Technology Readiness Level: TRL 4
FIGURES OF MERIT
Value Proposition: The Variable Grid Method (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 underlying uncertainty.
Organization Type: Academic/Gov Lab
Showcase Booth #: 616
GOVT/EXTERNAL FUNDING SOURCES
Government Funding/Support to Date: NETL is a government run and government operated federally funded national laboratory.
Primary Sources of Funding: Federal Grant
Looking for: Development / License Partners