Improvements and methodological innovations in the application of the Historic Landscape Characterisation methodology to industrial heritage landscapes
| dc.centro | E.T.S. de Arquitectura | es_ES |
| dc.contributor.author | Alba-Dorado, María Isabel | |
| dc.contributor.author | Cano Sanchiz, Juan Manuel | |
| dc.date.accessioned | 2024-02-12T08:30:11Z | |
| dc.date.available | 2024-02-12T08:30:11Z | |
| dc.date.issued | 2024-01-02 | |
| dc.departamento | Arte y Arquitectura | |
| dc.description.abstract | Industrial heritage landscapes today are phenomena of extraordinary complexity, the study of which has been addressed belatedly by the scientific community in general, and to date no methodological trend has given priority to its study and management. There do exist, however, recent methodological approaches, such as Historic Landscape Characterisation, which, in recent years, have addressed the problems and opportunities presented by a wide diversity of landscapes, as is the case of the industrial landscape of Blaenavon. The aim of this article is to critically evaluate the validity of this methodology in terms of responding to the needs that these landscapes present with regard to their study, enhancement and intervention from a heritage and cultural perspective. This study concludes that, while this methodology is a valuable contribution to knowledge of the historical character of these landscapes, the importance of addressing their specific nature makes necessary the development of more solid, methodologically sophisticated approaches that respond to some of the theoretical and methodological weaknesses of this methodology. In this regard, this article advances in the definition of improvements and methodological innovations that attempt to address, among other issues, the complexity of these landscapes in terms of their establishment in the territory, the diversity of spatial and temporal scales in which they participate, their dynamic, highly anthropised character, and their uniqueness as landscapes that have been radically transformed by past industrial activity and which possess enormous cultural and heritage value. | es_ES |
| dc.description.sponsorship | This research is supported by the research project "Design of an interdisciplinary methodology for the identification, characterization, assessment of and intervention in those landscapes of industrial heritage" (Reference: P20_01361), funded on a competitive basis through an official invitation to participate published by the Andalusian Plan for Research, Development and Innovation (PAIDI 2020) of the Junta de Andalucía. Funding for open access charge: University of Malaga. | es_ES |
| dc.identifier.citation | Alba Dorado, M.I., Cano Sanchiz, J.M. Improvements and methodological innovations in the application of the Historic Landscape Characterisation methodology to industrial heritage landscapes. City Territ Archit 11, 1 (2024). https://doi.org/10.1186/s40410-023-00222-4 | es_ES |
| dc.identifier.doi | 10.1186/s40410-023-00222-4 | |
| dc.identifier.uri | https://hdl.handle.net/10630/30357 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer | es_ES |
| dc.rights | Atribución 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Paisaje | es_ES |
| dc.subject | Patrimonio cultural | es_ES |
| dc.subject.other | Industrial landscape | es_ES |
| dc.subject.other | Industrial heritage | es_ES |
| dc.subject.other | Landscape character | es_ES |
| dc.subject.other | Historic Landscape Characterisation | es_ES |
| dc.subject.other | Methodological innovation | es_ES |
| dc.title | Improvements and methodological innovations in the application of the Historic Landscape Characterisation methodology to industrial heritage landscapes | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | c8b65caf-dd81-449c-abe7-12c7d43dd3ce | |
| relation.isAuthorOfPublication.latestForDiscovery | c8b65caf-dd81-449c-abe7-12c7d43dd3ce |
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