0000000000951309
AUTHOR
Silke Boos
MODELLING VAGUE KNOWLEDGE FOR DECISION SUPPORT IN PLANNING ARCHAEOLOGICAL PROSPECTIONS
Abstract. Most archaeological predictive models lack significance because fuzziness of data and uncertainty in knowledge about human behaviour and natural processes are hardly ever considered. One possibility to cope with such uncertainties is utilization of probability based approaches like Bayes Theorem or Dempster-Shafer-Theory. We analyzed an area of 50 km2 in Rhineland Palatinate (Germany) near a Celtic oppidum by use of Dempster-Shafer's theory of evidence for predicting spatial probability distribution of archaeological sites. This technique incorporates uncertainty by assigning various weights of evidence to defined variables, in that way estimating the probability for supporting a …
A Multimedia Museum Application Based Upon a Landscape Embedded Digital 3D Model of an Ancient Settlement
This paper describes the development of a digital reconstruction of the celtic hillfort “Altburg” (Germany), which was generated in the context of a museums exhibition in the Hunsruck-Museum Simmern (Germany). This model refers to the City GML standard and considers the principles of the London Charter for establishing internationally recognized principles for the use of three-dimensional visualization by researchers, educators and cultural heritage organizations.