Datenunsicherheit in hybriden Geoinformationssystemen
| dc.contributor.author | Glemser, Michael | |
| dc.contributor.author | Klein, Ulrike | |
| dc.contributor.editor | Rautenstrauch, Claus | |
| dc.contributor.editor | Schenk, Michael | |
| dc.date.accessioned | 2019-09-16T09:31:19Z | |
| dc.date.available | 2019-09-16T09:31:19Z | |
| dc.date.issued | 1999 | |
| dc.description.abstract | An essential requirement for a comprehensive use of hybrid data is the consideration and processing of its uncertainty. Erroneous interpretations of analyses can be avoided if uncertainty is integrated as a mandatory component, stored and considered in all operations. In this contribution, a probabilistic approach is presented for modelling geometrical and thematic uncertainty. The used hybrid data model is extended to manage data uncertainty. | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/26582 | |
| dc.publisher | Metropolis | |
| dc.relation.ispartof | Umweltinformatik ’99 - Umweltinformatik zwischen Theorie und Industrieanwendung | |
| dc.relation.ispartofseries | EnviroInfo | |
| dc.title | Datenunsicherheit in hybriden Geoinformationssystemen | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Marburg | |
| gi.conference.date | 1999 | |
| gi.conference.location | Magdeburg | |
| gi.conference.sessiontitle | IOGIS 2000 – Vision einer neuen Generation interoperabler GIS |