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Aoristic approaches and voxel models for spatial analysis

Crema, ER; (2011) Aoristic approaches and voxel models for spatial analysis. In: Jerem, E and Redő, F and Szeverényi, V, (eds.) (Proceedings) Computer Applications and Quantitative Methods in Archaeology. (pp. pp. 179-186). Archaeolingua: Budapest. (In press).

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Abstract

Uncertainties associated to the spatial description of archaeological phenomena are a function of the scale of the analysis. With large windows of observation we have to deal with an increased degree of ambiguity and imprecision on defining the spatial and temporal dimensions of the phenomena we are aiming to study. For landscape- scale analysis, these scalar biases are often caused by the subdivision of our evidence into chronological phases with different time lengths, and by the uneven degree of knowledge that we can hope to retrieve from diagnostic artefacts. Temporal uncertainty thus leads to spatio-temporal uncertainty where the pattern we observe at a specific timeframe is a consequence of the definition of the timeframe itself. Traditional GIS approaches based on cartographic representation provide only very poor visualisations of such complex and intrinsically uncertain phenomena. This paper proposes a probabilistic approach for analyzing and visualizing spatial patterns that addresses, in a quantitative manner, the temporal uncertainty associated with the archaeological record.

Type: Proceedings paper
Title: Aoristic approaches and voxel models for spatial analysis
Event: Computer Applications and Quantitative Methods in Archaeology
Location: Budapest
Dates: 02 April 2008 - 06 April 2008
Keywords: Temporal Uncertainty, Aoristic Analysis, Voxel Representation, Temporal GIS
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Institute of Archaeology
URI: http://discovery.ucl.ac.uk/id/eprint/1330858
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