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dc.contributor.authorGlemser, Michael
dc.contributor.authorKlein, Ulrike
dc.contributor.editorRautenstrauch, Claus
dc.contributor.editorSchenk, Michael
dc.date.accessioned2019-09-16T09:31:19Z
dc.date.available2019-09-16T09:31:19Z
dc.date.issued1999
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/26582
dc.description.abstractAn 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.publisherMetropolis
dc.relation.ispartofUmweltinformatik ’99 - Umweltinformatik zwischen Theorie und Industrieanwendung
dc.relation.ispartofseriesEnviroInfo
dc.titleDatenunsicherheit in hybriden Geoinformationssystemende
dc.typeText/Conference Paper
dc.pubPlaceMarburg
mci.conference.sessiontitleIOGIS 2000 – Vision einer neuen Generation interoperabler GIS
mci.conference.locationMagdeburg
mci.conference.date1999


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