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Please use this identifier to cite or link to this item: https://hdl.handle.net/11532/374130
Title : Exploring Andalusian industrial heritage through data science: breaking down the gaps and concerns to visualise opportunities.
Author : Ferreira-Lopes, P.
Date issued: 28-Sep-2023
Source: Conservar património, 2023, nº 44, pp. 30-46
Document Type: Artículo publicación periódica
Thematic descriptors: Patrimonio industrial
Documentación
Patrimonio Cultural
Ciencia
Sistemas de información geográfica
Funding agencies: CAS21/00333.
Language ISO: eng
Abstract: Industrial heritage, understood as the group of elements related to the work culture and production activities that emerged during the industrial revolution, has been surveyed and documented extensively in Spain in recent decades. This is particularly the case of recent years thanks to the advent of digital tools and systems. In the case of Andalusia, the efforts to document, disseminate and protect industrial heritage have been the subject of a variety of actions and projects. This paper describes the methodology used and the results obtained from a review of the existing 1,443 records of immovable assets of industrial heritage. The results point to deficiencies in the updating and incorporation of information in the Digital Guide, and to the need to carry out actions geared more towards understanding the elements as an integral whole made up of the landscape in which they appear.
Publisher : Associação Profissional de Conservadores-Restauradores de Portugal
ISSN: MIAR
2182-9942
Bibliographical reference: Ferreira Lopes, P. (2023). Exploring Andalusian industrial heritage through data science: breaking down the gaps and concerns to visualise opportunities. Conservar Património,
Publish version: https://conservarpatrimonio.pt/article/view/27024
Rights: © Instituto Andaluz del Patrimonio Histórico
Rights URL: http://creativecommons.org/licenses/by-nc-sa/3.0/deed.es
Date accessioned: 2024-01-02T12:25:10Z
Date available: 2024-01-02T12:25:10Z
Format: application/pdf
URI: https://hdl.handle.net/11532/374130
DOI: https://doi.org/10.14568/cp27024
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