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Titlebook: Geographic Information Science; Third International Max J. Egenhofer,Christian Freksa,Harvey J. Miller Conference proceedings 2004 Springe

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Modeling Surface Hydrology Concepts with Endurance and Perdurance,The paper demonstrates the usefulness of applying the notions of endurance and perdurance to surface hydrology. The result is a set of primitive entities, aggregate entities, and relations between these entities that are necessary to cover surface hydrology concepts.
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Project Lachesis: Parsing and Modeling Location Histories, a subject has spent some time at a single location, and . are clusters of stays. Using stays and destinations, we then propose two methods for modeling location histories probabilistically. Experiments show the value of these data structures, as well as the possible applications of probabilistic models of location histories.
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Ergebnisse der institutionellen Analyse, Geo-Self-Organizing Map (Geo-SOM) as a tool to develop homogeneous regions and perform geographic pattern detection. The Geo-SOM presents several advantages over other available methods. The possibility of “what-if” analysis, coupled with powerful visualization tools and the accommodation of spatia
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,Eine Kiste geht auf große Fahrt,global ontology that describe the domain, with the concepts of the ontologies that describe the data in the local databases. Once the alignment between the global ontology and each local ontology is established, users can potentially query hundreds of databases using a single query that hides the un
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Zusammenfassung der Ergebnisse,g such an approach is to ensure the right correspondence of data across databases. To reach this goal, it is necessary to develop a description of the surface hydrology concepts that is internally consistent and semantically rich. In this paper, we apply the notions of endurance and perdurance to mo
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Das Verfahren der sequentiellen Feinanalyse,quality of the dataset and descriptions of the task are used to make this decision. A simple comparison of task requirements and available data quality is supplemented with general, common-sense knowledge about effects of errors, lack of precision in the data and the dilution of quality over time. I
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