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Geostatistical modelling of chemical residues on archaeological floors in the presence of barriers

机译:存在障碍的情况下考古地面化学残留物的地统计学模型

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Maps representing the distribution of chemical residues over anthropogenic floors are the main diagnostic tools used by archaeologists for addressing the identification of geochemical signatures of past actions. Geostatistics allows producing these maps from a sample of locations by modelling the spatial autocorrelation structure of these kind of phenomena. However, the homogeneity of the prediction regions is a strong assumption in the model. The presence of barriers, such as the inner walls of domestic units, introduces discontinuities in prediction areas. In this paper, we investigate how to incorporate information of a geographical nature into the process of geostatistical prediction. We propose the use of cost-based distances to quantify the correlation between locations, a solution which has proved to be a practical alternative approach for archaeological intrasite analysis. The cost-based approach produces more reliable results avoiding the unrealistic assumption of the homogeneity of the study area. As a working example, a case study of the distribution of two specific chemical signatures in domestic floors is presented within a controlled ethnographical context in Northern Gujarat (India). On a broad disciplinary scale, the benefits of using our approach include improved estimates in regions with complex geometry and lower uncertainty in the kriging predictions. (c) 2016 Elsevier Ltd. All rights reserved.
机译:代表人为活动地板上化学残留物分布的地图是考古学家用来解决过去活动的地球化学特征识别的主要诊断工具。地统计学可以通过对此类现象的空间自相关结构建模来从位置样本中生成这些地图。但是,预测区域的均匀性是模型中的一个强有力的假设。障碍物的出现,例如家用设备的内壁,在预测区域中引入了不连续性。在本文中,我们研究了如何将地理信息纳入地统计预测过程。我们建议使用基于成本的距离来量化位置之间的相关性,该解决方案已被证明是考古现场分析的一种实用替代方法。基于成本的方法避免了研究区域同质性的不切实际的假设,从而产生了更可靠的结果。作为一个工作示例,在北古吉拉特邦(印度)的人种志环境中,介绍了两种特定化学特征在家用地板中的分布的案例研究。在广泛的学科范围内,使用我们的方法的好处包括改进了具有复杂几何形状的区域的估计,并降低了克里金法预测的不确定性。 (c)2016 Elsevier Ltd.保留所有权利。

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