Multi-criteria modelling and clustering of spatial information

Christian Lucas

9 citations0/0 files storedInternational Journal of Geographical Information Systems

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Geographic Information Systems Studies Data Management and Algorithms Advanced Decision-Making Techniques

Abstract

To improve the formal integration of verbally given spatial information in a geographical information system, a methodology for converting such information to a geographical representation was developed. This was applied to examples of a spatial-related analysis of natural language text messages in the domain of disaster management. This article presents an approach for such a conversion by using a suitable knowledge representation as well as formal modelling structures. The structures are provided by an ontology-supported knowledge base. With respect to spatial uncertainty, a formal representation based on possibility theory was defined. Moreover, a cluster algorithm was developed for handling information of different sources and building a spatial context.

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1965Fuzzy sets 1996Fuzzy sets 2004The point-radius method for georeferencing locality descriptions and calculating associated uncertainty 2008Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach

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2013Volunteered Geographic Information for Disaster Management

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