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

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Methods for Handling Imperfect Spatial Information

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 256))

Abstract

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.

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de Runz, C., Desjardin, E. (2010). Imperfect Spatiotemporal Information Analysis in a GIS: Application to Archæological Information Completion Hypothesis. In: Jeansoulin, R., Papini, O., Prade, H., Schockaert, S. (eds) Methods for Handling Imperfect Spatial Information. Studies in Fuzziness and Soft Computing, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14755-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-14755-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14754-8

  • Online ISBN: 978-3-642-14755-5

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