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https://hdl.handle.net/11681/33663| Title: | Reducing uncertainty and improving precision in coincident geospatial datasets using weight-of-evidence : part 1 |
| Authors: | Cegan, Jeffrey C. Wood, Matthew D. Linkov, Igor. Loney, Drew A. |
| Keywords: | Geospatial data Data sets |
| Publisher: | Coastal and Hydraulics Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Technical Note (Engineer Research and Development Center (U.S.)) ; no. ERDC/CHL CHETN-XII-1 |
| Abstract: | 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. |
| Description: | Technical Note |
| Gov't Doc #: | ERDC/CHL CHETN-XII-1 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/33663 http://dx.doi.org/10.21079/11681/33663 |
| Size: | 14 pages / 1.593 Mb |
| Types of Materials: | |
| Appears in Collections: | Technical Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-CHL CHETN-XII-1.pdf | 1.63 MB | Adobe PDF |  View/Open |