Variable Grid Method for Simultaneously Visualizing Spatial Data Trends and Uncertainty

Organization: U.S. Department of Energy's National Energy Technology Laboratory
Co-Developer(s): AECOM
Year: 2016

Variable Grid Method for Simultaneously Visualizing Spatial Data Trends and Uncertainty offers a novel visualization approach to effectively and accurately quantify and communicate the uncertainties associated with spatial data. This spatial data spans a wide range of disciplines and uses including weather forecasts, medical images (e.g., CT scans), satellite imagery, model and simulation outputs, and map-based products such as seafloor bathymetry, surface topography, as well as map based interpretations. This is a revolutionary technology that will benefit a broad user base and enable more robust and reliable use of spatial data products, leading to more-informed decision making and analysis. The technology allows users from a wide range of backgrounds—engineers, scientists, managers, decision-makers, industry and the general public—to simultaneously identify trends and patterns along with any associated error or uncertainty with those data or analytical results. No other method currently available offers the flexibility, utility and ease of application.

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