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Computational methods and rural cultural & natural heritage: A review

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2021 Italy Publisher:Elsevier BVJournal:Journal of Cultural Heritage, volume 49, pages 250-259 (issn: 1296-2074,

Authors: Barrientos, Francisco; Martin, John; de Luca, Claudia; Tondelli, Simona; Gómez-García-Bermejo, Jaime; Zalama Casanova, Eduardo;

doi: 10.1016/j.culher.2021.03.009

handle: 11585/820139

Computational methods and rural cultural & natural heritage: A review

- Summary
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- References
  (66)
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Abstract

Cultural and Natural Heritage (CNH) are both irreplaceable sources of life and inspiration, according to the UNESCO definition. Rural areas represent outstanding examples of cultural, either tangible or intan- gible, and natural heritage. While rural areas are facing a socio-economic and demographic crisis all over the world, CNH need not only to be safeguarded, but also promoted as a driver for competitiveness, growth and sustainable and inclusive development. This paper goes deeper into the study of computa- tional methods (CMs) applied to modelling CNH in rural areas by looking at how computational methods can support CNH promotion and valorisation to transform rural areas into laboratories for the demon- stration of sustainable development through improving the unique potential of their heritage. To this end, different com putational methods have been studied and classified according to their scope and ap- plication area parameters, showing some correlation among the said parameters and the class of compu- tational method. Apart from how CMs have been applied, wehether it is possible to scale up these CMs elsewhere has also been considered.

Country

Italy

Related Organizations

Plymouth University
United Kingdom
University of Valladolid
Spain
UNIVERSITY OF PLYMOUTH
United Kingdom
Alma Mater Studiorum University of Bologna
Italy

Subjects by Vocabulary

Microsoft Academic Graph classification: media_common.quotation_subject Promotion (rank) Political science Natural heritage Environmental planning media_common Sustainable development Class (computer programming) Scope (project management) Inclusive development Rural area

Keywords

Archeology, Materials Science (miscellaneous), Conservation, Rural areas, Modelling, Natural heritage, Computational methods, Spectroscopy, Cultural heritage Natural heritage Rural areas Computational methods Modelling, Chemistry (miscellaneous), Cultural heritage, General Economics, Econometrics and Finance

66 references, page 1 of 7

[1] RURITAGE, Rural regeneration through systemic heritage-led strategies, 2018, (https://www.ruritage.eu) Horizon 2020, Grant agreement No 776465.

[2] Consejería de Cultura y Turismo, Plan PAHIS 2020 del patrimonio cultural de Castilla y León, Junta de Castilla y León. Consejería de Cultura y Turismo, 2015.

[3] NATURE, Computational methods, 2019, (https://www.nature.com/subjects/ computational-methods).

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[6] UNESCO-UIS, The UNESCO Framework for Cultural Statistics (FCS), UNESCO Institute for Statistics, P.O. Box 6128, Succursale Centre-Ville. Montreal, Quebec H3C 3J7 Canada, 2009.

[7] ICOMOS-IFLA, Principles concerning rural landscapes as heritage, 2017, (http:// www.worldrurallandscapes.org/home/wrl-results/principles-text/) Adopted by the 19th ICOMOS General Assembly, New Delhi, India, 15 December 2017.

[8] C. Campbell, An author's guide to writing articles and reviews for educational research review, 2001, (https://www.huidziekten.nl/diversen/opleiding/ CATDatabase/guidetowritingreviews.pdf).

[9] M. Kirkevold, Integrative nursing research - an important strategy to further the development of nursing science and practice, Journal of Advanced Nursing 25 (1997) 977-984, doi:10.1046/j.1365-2648.1997.1997025977.x. [OpenAIRE]

[10] N. Jahan, S. Naveed, M. Zeshan, How to conduct a systematic review: A narrative literature review, Cureus 8 (11 e864) (2016), doi:10.7759/cureus.864.

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%

Usage byUsageCounts

visibility	views	16
download	downloads	32

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%