Hybrid Modelling and Analysis of Uncertain Data
نویسندگان
چکیده
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 geometric and thematic uncertainty. By means of a flooding forecast as an example application, the enhancements which are necessary in data modelling and analysis functions are explained.
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