Morphological analysis of historical landscapes based on cultural DNA approach
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 morphol...
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| Published in: | Digital Applications in Archaeology and Cultural Heritage Vol. 30; p. e00277 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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01.09.2023
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| ISSN: | 2212-0548, 2212-0548 |
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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.
•Historical landscapes follow patterns and specific mathematical rules.•By using a new methodology, we found effective parameters in the spatial layout of historical Persian gardens.•We have collected data of six historical Persian gardens (World Heritage Sites in Iran) using UAVs and have produced detailed plans and a 3D animation video.•The Qajar gardens have higher spatial connectivity than the Safavid garden.•We studied Cultural DNA in Historic Persian Gardens. |
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| AbstractList | 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.
•Historical landscapes follow patterns and specific mathematical rules.•By using a new methodology, we found effective parameters in the spatial layout of historical Persian gardens.•We have collected data of six historical Persian gardens (World Heritage Sites in Iran) using UAVs and have produced detailed plans and a 3D animation video.•The Qajar gardens have higher spatial connectivity than the Safavid garden.•We studied Cultural DNA in Historic Persian Gardens. |
| ArticleNumber | e00277 |
| Author | Goodarzi, Parichehr Mahdavinejad, Mohammadjavad Pour Rahimian, Farzad Haghighatbin, Mahdi Russo, Alessio Ansari, Mojtaba |
| Author_xml | – sequence: 1 givenname: Parichehr orcidid: 0000-0001-9728-9493 surname: Goodarzi fullname: Goodarzi, Parichehr organization: Department of Architecture, Faculty of Art & Architecture, Tarbiat Modares University, Tehran, Iran – sequence: 2 givenname: Mojtaba surname: Ansari fullname: Ansari, Mojtaba email: ansari_m@modares.ac.ir organization: Department of Architecture, Faculty of Art & Architecture, Tarbiat Modares University, Tehran, Iran – sequence: 3 givenname: Mohammadjavad orcidid: 0000-0002-6454-6518 surname: Mahdavinejad fullname: Mahdavinejad, Mohammadjavad organization: Department of Architecture, Faculty of Art & Architecture, Tarbiat Modares University, Tehran, Iran – sequence: 4 givenname: Alessio surname: Russo fullname: Russo, Alessio organization: School of Arts, University of Gloucestershire, Francis Close Hall Campus, Swindon Road, Cheltenham, GL50 4AZ, UK – sequence: 5 givenname: Mahdi surname: Haghighatbin fullname: Haghighatbin, Mahdi organization: Department of Architecture, Faculty of Art & Architecture, Tarbiat Modares University, Tehran, Iran – sequence: 6 givenname: Farzad surname: Pour Rahimian fullname: Pour Rahimian, Farzad organization: School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, UK |
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| Keywords | Historic Persian garden Cultural DNA (CD) Unmanned aerial vehicles (UAVs) Pattern language Space syntax Visual computing |
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