Annotating Uncertainty in Geospatial and Environmental Data
| Autor: | Mahdi Abdelguerfi, Kevin Shaw, Elias Ioup, Zhao Yang, Brent Barre, John T. Sample |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Information retrieval
Geospatial analysis Markup language Computer Networks and Communications Computer science Simple Features InformationSystems_DATABASEMANAGEMENT computer.file_format computer.software_genre Geography Markup Language GeoPDF Geospatial PDF Web Coverage Service Web service computer |
| Zdroj: | IEEE Internet Computing. 19:18-27 |
| ISSN: | 1941-0131 1089-7801 |
| DOI: | 10.1109/mic.2014.39 |
| Popis: | The Geography Markup Language (GML) -- the existing standard for encoding geospatial data -- has no mechanism for annotating such data with uncertainty. To address this issue while supporting the geospatial community's existing data and service standards, the authors extend GML to enable uncertainty markup. They demonstrate this extension's use with some common geospatial data types and Web services. The result is a robust capability to share error information while maintaining compatibility with existing geospatial data clients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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