下瓜达尔基维尔的网络化遗产管理(西班牙)

IF 2 0 HUMANITIES, MULTIDISCIPLINARY
Heritage Pub Date : 2023-10-19 DOI:10.3390/heritage6100356
Marina López Sánchez, Cristina Vicente Gilabert
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引用次数: 0

摘要

本文描述了在超城市规模上生成地理参考遗产清单的操作。该工具根据领土的特征和特点建立了其遗产元素之间的联系。这项工作是在位于西班牙南部安达卢西亚的下瓜达尔基维尔河流域进行的,面积约8500平方公里。所使用的方法是基于安达卢西亚历史遗产研究所生成的安达卢西亚不可移动历史遗产的数字清单,其中索引了研究区域的500多个遗产资产。这项工作从扩大和处理这些资产开始,目的是重新组织它们,并在它们的分类方案中建立新的参数。随后,在地理信息系统环境中开发的空间分析检测由领土物理特征决定的遗产资产之间的关系。通过历史研究对比了这些关系,从而确定了该地区的八个遗产网络。最后,其中一个网络被用来展示如何,从图论,有可能调查检测到的链接。最后,本文讨论了该研究如何使我们走向新的地域维度和关系职业的遗产管理模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Networked Heritage Management in the Lower Guadalquivir (Spain)
This paper describes the operations carried out to generate a georeferenced heritage inventory at a supra-municipal scale. The tool establishes links between its heritage elements based on the features and characteristics of the territory. The work has been carried out on the fluvial zone of the Lower Guadalquivir, an area of approximately 8500 km2 located in Andalusia in the south of Spain. The method used is based on the digital inventory of the Andalusian immovable historical heritage generated by the Andalusian Institute of Historical Heritage, in which more than 500 heritage assets in the study area are indexed. The work begins with the expansion and processing of these assets with the aim of reorganizing them and establishing new parameters in their classification schemes. Subsequently, a spatial analysis developed in a GIS environment detects relationships between heritage assets determined by the physical characteristics of the territory. These relationships are contrasted by historical research, and eight heritage networks in the territory are defined as a result. Finally, one of the networks is used to show how, from the graph theory, it is possible to investigate the detected links. Ultimately, it is discussed how this study allows us to move toward new models of the heritage management of territorial dimension and relational vocation.
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来源期刊
Heritage
Heritage Multiple-
CiteScore
2.90
自引率
17.60%
发文量
165
审稿时长
10 weeks
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