Filters: Tags: Bayesian networks (X)
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U.S. Geological Survey (USGS) scientists are at the forefront of research that is critical for decision-making, particularly through the development of models (Bayesian networks, or BNs) that forecast coastal change. The utility of these tools outside the scientific community has been limited because they rely on expensive, technical software and a moderate understanding of statistical analyses. We proposed to convert one of our models from proprietary to freely available open-source software, resulting in a portable interactive web-interface. The resulting product will serve as a prototype to demonstrate how interdisciplinary USGS science and models can be transformed into an approachable format for decision-makers....
Categories: Project;
Tags: 2017,
All Funded Projects,
Bayesian Networks,
Completed,
Computational Tools and Services,
In 2010, 39 percent of the U.S.population lived near the coast. This population is expected to increase by 8 percent from 2010 to 2020. Coastal regions are also home to species and habitats that provide critical services to humans, such as wetlands that buffer coasts from storms. Therefore, sea-level rise and the associated changes in coastlines challenge both human communities and ecosystems. Understanding which coastal lands will be vulnerable to sea-level rise is critical for policy makers, land-use planners, and coastal residents. Focusing on the coastal region from Virginia to Maine, researchers examined a range of different possible sea-level rise scenarios, combined with information on features of the coastal...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Bayesian networks,
CASC,
Climate Change,
Completed,
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