Morphological analysis of historical landscapes based on cultural DNA approach

Goodarzi, Parichehr, Ansari, Mojtaba, Mahdavinejad, Mohammadjavad, Russo, Alessio ORCID: 0000-0002-0073-7243, Haghighatbin, Mahdi and Pour Rahimian, Farzad (2023) Morphological analysis of historical landscapes based on cultural DNA approach. Digital Applications in Archaeology and Cultural Heritage, 30. e00277. doi:10.1016/j.daach.2023.e00277

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Abstract

Recent trends in landscape architecture investigate new approaches, methods, and technologies to understand, monitor, manage, continuity, and sustainably develop heritage landscapes. Cultural DNA (CD) represents designs’ transferable geometric, behavioural and functional properties. The morphological structure of Persian historical gardens possesses discoverable hidden patterns, computable through the CD’s mathematical and computational models. This study aims to investigate and discover effective parameters in the spatial structure of historical Persian gardens using Space Syntax. Six Persian Gardens were surveyed, and spatial structures were analysed using DepthMap10 software. The results show that these spaces follow meaningful mathematical patterns and rules that can be formulated in the context of generative processes and generalized for the evolutionary continuity of gardens. However, further research is proposed to develop more advanced computational methods, such as artificial intelligence (AI) algorithms and AI-based decision support tools, to help to generate design scenarios and to transmit culture through the design process.

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Historic Persian garden; Cultural DNA; (CD)Pattern language; Visual computing; Space syntax; Unmanned aerial vehicles (UAVs)
Subjects:	G Geography. Anthropology. Recreation > GB Physical geography G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Schools and Research Institutes > School of Creative Arts
Research Priority Areas:	Place, Environment and Community
Depositing User:	Anne Pengelly
Date Deposited:	26 Jul 2023 12:03
Last Modified:	20 Oct 2023 15:41
URI:	https://eprints.glos.ac.uk/id/eprint/12908

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