Digital development of architectural heritage under the trend of Metaverse: Challenges and opportunities

Wang, Wei; Yu, Chuck Wah; Peng, Fan; Feng, Zhuangbo

doi:10.1177/1420326x231191571

Cited by 3 publications

(2 citation statements)

References 24 publications

(27 reference statements)

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“…3. The rational use of spatial archaeology (SA) scientific technologies such as metauniverse [26][27][28], PJM [29][30][31], VR, and AR can assist in archaeological site-related work. During the excavation process of archaeological sites, technologies such as SA and GIS can be used to locate sites, facilitating the excavation and protection of ancient sites.…”

Section: Discussionmentioning

confidence: 99%

Determination of the Temporal-Spatial Distribution Patterns of Ancient Heritage Sites in China and their Influencing Factors via GIS

2024

Preprint

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Exploring the temporal and spatial distribution as well as the influencing factors of ancient archaeological sites can illuminate the developmental trajectory of human civilization, aiding in the comprehension of the geographical environment, resource distribution, climatic conditions,and other aspects of historical periods.In particular, exploring the temporal and spatial distribution is highly important for the management and protection of these sites. Using ArcGIS 10.8 software, we analysed the distribution of 1,194 historical ancient sites among the key national cultural heritage sites. The research findings are as follows: (1) The distribution of ancient sites demonstrates an agglomerative spatial pattern. The nearest neighbour index (R<1) for sites from various historical periods indicates an agglomerative spatial distribution of ancient sites across different historical periods, with the clustering degree being relatively poor for sites from the Wei-Jin, Northern and Southern Dynasties and in the Ming and Qing periods. The regions with a concentration of ancient sites are the middle and lower reaches of the Yangtze River and Yellow River basins. Furthermore, there is a higher abundance of ancient sites in the southeastern region than in the northwestern region. (2) The distribution of ancient sites in different historical periods also exhibits an imbalance, with an overall downwards trend in the number of ancient sites in China. Notably, more ancient sites were found for the prehistoric and pre-Qin periods. The temporal trend of ancient sites during historical periods follows a trajectory from northeast to northwest, northeast to southwest, etc. (3) The temporal and spatial distributions of ancient sites are influenced by multiple factors, including social development, the natural environment, geographical elements, and socioeconomic and political factors. Finally, based on an understanding of the spatiotemporal distribution pattern of ancient sites and the factors that influence this pattern, recommendations for conservation and development can be proposed and supported by modern technological methods, with the aim of offering insights for the protection and sustainable development of heritage sites.

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Section: Discussionmentioning

confidence: 99%

Determination of the Temporal-Spatial Distribution Patterns of Ancient Heritage Sites in China and their Influencing Factors via GIS

2024

Preprint

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“…The term metaverse technology describes a virtual environment within which users can engage in a variety of activities, including socializing, learning, gaming, and content creation while interacting with one another through avatars. Recent years have witnessed the substantial progress of metaverse and digital twin technologies and their applications in various areas, such as education in different contexts, including academia and industry [1], cultural heritage [2], the building and construction industry [3], social media and gaming [4], etc.…”

Section: Introductionmentioning

confidence: 99%

Designing an Educational Metaverse: A Case Study of NTUniverse

Sim,

Xu,

Jin

et al. 2024

Applied Sciences

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An up-and-coming concept that seeks to transform how students learn about and study complex systems, as well as how industrial workers are trained, metaverse technology is characterized in this context by its use in virtual simulation and analysis. In this work, a virtual environment is created that duplicates real-world situations and enables immersive and interactive learning in the educational metaverse. For this purpose, we built a digital twin of the Nanyang Technological University (NTU) campus as a foundation, called NTUniverse. It is designed as an educational metaverse in which various academic and analytical applications are digitized as 3D content embedded within this virtual campus. The approach to digitally twinning educational systems and embedding them within virtual campuses enables remote and collaborative learning as well as professional technical skills training. It also makes feasible the analysis of abstract concepts, complicated structures, dynamic processes, and sensitive industrial procedures virtually, which is otherwise challenging if not impossible to perform in the real world. The work offers important insights into the behaviors and interactions of systems in the metaverse by evaluating design choices and user interests. NTUniverse is an attempt to explore a novel approach that addresses remote education and training challenges. Three efforts with NTUniverse will be discussed in this work, including (1) digitalization of the NTU campus; (2) campus train modelling and simulation; and (3) science, technology, engineering and mathematics education.

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Determination of the temporal–spatial distribution patterns of ancient heritage sites in China and their influencing factors via GIS

2024

Herit Sci

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In this paper, we analysed the temporal and spatial distributions of ancient archaeological sites in China as well as their influencing factors. Our aim was to reveal the developmental trajectory of Chinese civilisation and to explore the natural and cultural factors affecting human distribution, with the goal of providing insights for the conservation and development of ancient relics. We employed spatial analysis methods using ArcGIS 10.8 software, such as kernel density analysis and trend surface analysis, to analyse 1194 historical ancient sites listed in the National Cultural Relics Protection Units of China. The research findings are as follows: (1) the distribution of ancient sites demonstrates an agglomerative spatial pattern. The nearest neighbour index (R < 1) for sites from various historical periods indicates an agglomerative spatial distribution of ancient sites across historical periods, with the clustering degree being relatively poor for sites from the Wei-Jin, Northern and Southern Dynasties and in the Ming and Qing periods. The regions with a concentration of ancient sites are the middle and lower reaches of the Yangtze River and Yellow River Basins. Furthermore, there is a higher abundance of ancient sites in the southeastern region than in the northwestern region. (2) The distribution of ancient sites in different historical periods also exhibits an imbalance, with an overall decreasing trend in the number of ancient sites in China. Notably, more ancient sites were found for the prehistoric and pre-Qin periods. The temporal trend of ancient sites during historical periods follows a trajectory from northeast to northwest, northeast to southwest, etc. (3) The temporal and spatial distributions of ancient sites are influenced by multiple factors, including social development, the natural environment, geographical elements, and socioeconomic and political factors. Finally, based on an understanding of the spatiotemporal distribution pattern of ancient sites and the factors that influence this pattern, recommendations for conservation and development can be proposed and supported by modern technological methods, with the aim of offering insights for the protection and sustainable development of heritage sites.

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Digital development of architectural heritage under the trend of Metaverse: Challenges and opportunities

Cited by 3 publications

References 24 publications

Determination of the Temporal-Spatial Distribution Patterns of Ancient Heritage Sites in China and their Influencing Factors via GIS

Determination of the Temporal-Spatial Distribution Patterns of Ancient Heritage Sites in China and their Influencing Factors via GIS

Designing an Educational Metaverse: A Case Study of NTUniverse

Determination of the temporal–spatial distribution patterns of ancient heritage sites in China and their influencing factors via GIS

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