Birgit Kieler

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In recent times the amount of spatial data being collected by voluntary users, e.g. as part of the OpenStreetMap project, is rapidly increasing. Due to the fact, that everyone can participate in this social collaboration, the completeness and accuracy of the data is very heterogeneous. Although a object catalogue exists as part of the OSM project, users are(More)
In order to ease the propagation of updates between geographic datasets of different scales and to support multi-scale analyses, different datasets need to be matched, that is, objects that represent the same entity in the physical world need to be identified. We propose a method for matching datasets of river systems that were acquired at different scales.(More)
The goal of the research described in this paper is to derive parameters necessary for the automatic generalization of land-cover maps. A digital land-cover map is often given as a partition of the plane into areas of different classes. Generalizing such maps is usually done by aggregating small areas into larger regions. This can be modeled using cost(More)
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