Reducing Uncertainty and Improving Precision in Coincident Geospatial Datasets Using Weight-of-Evidence: Part 1
ERDC Vicksburg United States
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This U.S. Army Engineer Research and Development Center ERDC Technical Note TN is the first of multiple TNs focused on improving environmental datasets in limited-knowledge conditions by merging multiple datasets, each with high uncertainty and low precision, together with institutionalized subject matter expert knowledge to increase accuracy and precision. This TN provides a brief overview of geospatial data fusion and uncertainty quantification for environmental datasets. Additionally, this TN details the progress and current results following an investigation of the working hypothesis that a weight-of-evidence WOE framework that joins qualitative and quantitative datasets can significantly improve the accuracy and precision as related to individual datasets and current data fusion algorithms.
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