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Hybrid Modelling And Analysis Of Uncertain Data
"... 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 probabi ..."
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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.
Data Uncertainty In A Hybrid GIS
- In: Proceedings of the ISPRS-Symposium “GIS-Between Visions and Applications
, 1998
"... The paper presents a new approach for integrating data uncertainty into a hybrid GIS environment. Such a hybrid system can process raster data as well as vector data in an integrated manner taking uncertainty into account. For this purpose a hybrid data model is defined and extended to manage data u ..."
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The paper presents a new approach for integrating data uncertainty into a hybrid GIS environment. Such a hybrid system can process raster data as well as vector data in an integrated manner taking uncertainty into account. For this purpose a hybrid data model is defined and extended to manage data uncertainty. The uncertainty description is based on probability measures. The consequences for the analysis methods are demonstrated by two selected operations. First, we concentrate on raster-vector-conversion which is often applied in a hybrid system and secondly treat polygon overlay. Some examples help to clarify the modifications made for these functions.
Complex Analysis Methods in Hybrid GIS Using Uncertain Data
, 2000
"... Topic of this contribution is the integration of data uncertainty in complex analysis processes. By means of a flooding forecast as an example application, the enhancements which are necessary in data modelling and analysis functions are explained. The major objective of the research is to determine ..."
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Topic of this contribution is the integration of data uncertainty in complex analysis processes. By means of a flooding forecast as an example application, the enhancements which are necessary in data modelling and analysis functions are explained. The major objective of the research is to determine the uncertainty in the spatial extension of the possible flooded region. In particular, the impact on settlement areas is of special interest. A comparison with the traditional result without consideration of uncertainty clarifies the information profit achieved.
