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Thursday, March 31 • 08:55 - 09:20
S02-02 Using geostatistical modeling to solve spatio─temporal questions

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Using Geostatistical Modeling to solve Spatio-Temporal Questions

Katia Achino, Juan Antonio Barceló

Is it possible to infer where social agents performed their actions and work processes, on the basis of the observed relationships between the actual locations of archaeological material? This is an inverse problem with multiple solutions, and it is in no way simple how to decide between competing solutions. However, the fact that we cannot predict the place of past actions does not mean that social action is indeterministic at some spatial level. On the opposite, social actions should be analyzed as conditioned and/or determined by other actions, because they have been performed in an intrinsically better or worse spatial/temporal location for some purpose because of their position relative to some other location for another action or the reproduction of the same action. 
In this paper we use the spatial coordinates of different kinds of artifacts from the Early Bronze Age site of Villaggio delle Macine (Rome-Italy) to investigate the possible location of different activities (residence, production, use-consumption) and how the spatial distribution of an action has an influence over the spatial distribution of (an)other action(s). Intrasite spatial distributions are analyzed using variograms and related methods of spatial second-order analysis. Second order variation in a spatial pattern is that part of the pattern that may be attributed to interaction effects among elements in the pattern. Alternatively, it is what is left of the pattern once first order variation or trend effects have been removed. Against some back ground trend, the second order effects are more localized variations in pattern intensity. The problem is that each variogram refers to a single archaeological category. A still unresolved problem is how to integrate all we have inferred from separate spatial patterns into a single model. In this paper we suggest using spatially constrained correspondence analysis to study possible communalities and spatial similarity relationships between spatial patterns of different artifact categories.

Thursday March 31, 2016 08:55 - 09:20 CEST
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