Reducing uncertainty and improving precision in coincident geospatial datasets using weight-of-evidence : part 1
Jeffrey C. Cegan, Matthew Wood, Igor Linkov, Drew Loney · 2019
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 limitedknowledge 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.