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Gis And Archaeology: A Spatial Predictive Model For Neolithic Sites Of The Tavoliere (Apulia)

机译:GIS和考古学:Tavoliere(Apulia)的新石器时代地点的空间预测模型

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Two are the risks associated to archaeological heritage. The first one is economic and it is related to the costs needed to perform field survey in all the territory. The second one is scientific, that is the risk to lose artifacts and, consequently, witnesses of the human past [1], in particular in case of large-scale infrastructure works and looting linked to the illicit trade of antiquities. Predictive models are useful to archaeological research to look for the right compromise between the reduction of costs and effectiveness of results. It enables to identify the site locational behavior [2], more in particular environmental site location preferences [3]. From the eighties the development of more user friendly GIS softwares and the increased easiness of relative tools allowed the diffusion of predictive models, that were improved thanks to the greater availability of remotely sensed data and the image processing routines, which are effective for the detection of archaeological features. The proposal of this paper is to make a brief review of existing predictive models and to propose a new model that takes in count spatial properties of archaeological datasets to predict neolithic settlements in Tavoliere in the Apulian region (Southern Italy), already investigated by preventive archaeological methods including geophysics and remote sensing [4].
机译:两个是与考古遗产相关的风险。第一个是经济的,它与在所有领土上进行现场调查所需的成本有关。第二个是科学的,这是失去文物的风险,因此,人类过去的证人[1],特别是在大规模基础设施的作品和抢劫与古物非法贸易相关的情况下。预测模型对考古研究有用,以寻找降低成本和结果的有效性之间的正确妥协。它可以识别网站位置行为[2],更多的环境站点位置偏好[3]。从八十年代开始,更多用户友好的GIS软件和相对工具的增加的容易性允许扩散预测模型,这是由于远程感测数据和图像处理例程的更大可用性而改善,这对于检测有效考古特征。本文的提议是简要介绍现有的预测模型,并提出一种新的模型,该模型采用考古数据集的空间特性,以预测由预防性考古(意大利南部)的Tavoliere中的新石器时级定居点。包括地球物理和遥感的方法[4]。

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