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Chapitre D'ouvrage Année : 2010

Imperfect Spatiotemporal Information Analysis in a GIS: Application to Archæological Information Completion Hypothesis

Résumé

While Geographical Information System (GIS) is a classic in geography, we can denote a growing interest for its use in archæology. This science, dealing with the past, partial discoveries and hypotheses, has to handle spatiotemporal information which is often incomplete and imprecise or uncertain. So, one needs to focus on the management of imperfection. The aim of this chapter is to expose a way to integrate the archaeological knowledge imperfection from the modeling of data to its graphical visualization in a spatiotemporal analysis process. The first goal of our approach is to propose valuated completion hypothesis along the time. In order to obtain it, we use a pattern recognition method derived from the Hough transform in accordance with the chosen data modeling.We apply our method in an archæological GIS devoted to Roman street excavation in Reims.

Dates et versions

hal-00584814 , version 1 (10-04-2011)

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Citer

Cyril de Runz, Éric Desjardin. Imperfect Spatiotemporal Information Analysis in a GIS: Application to Archæological Information Completion Hypothesis. Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert. Methods for Handling Imperfect Spatial Information, Springer, pp.341-356, 2010, Studies in Fuzziness and Soft Computing, ⟨10.1007/978-3-642-14755-5_13⟩. ⟨hal-00584814⟩

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