Multiple Bayesian models approach to assessing drivers of cultural heritage spatial distribution illustrated Lushan County in China

IF 7.5 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

npj Materials Degradation Pub Date : 2025-08-21 DOI:10.1038/s40494-025-01941-2

Yuxi Liu, Xinyu Du, Yu Bai, Qibing Chen, Dong Liu

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引用次数: 0

Abstract

Abstract Cultural heritage carries the material and cultural connotations of various historical periods. This study uses Bayesian modelling to assess the drivers on the spatial distribution of cultural heritage in Lushan County. The findings reveal that, first, the hierarchical Bayesian model effectively captures the heterogeneity of the drivers across heritage types and quantifies the variations in their intensities. Second, the spatial distribution shows a “south-dense, north-sparse” pattern. At the overall level, elevation, distance from settlements, and distance from cultural centers have a significant negative effect on heritage density, while distance from geological hazard sites has a significant positive effect. Third, social drivers exert a significantly greater effect than natural drivers, with their effect strengthening over time. Fourth, the significance of the regression coefficients, and the strength and direction of each driver’s effect, vary across different heritage types. These results provide data-driven methodological and theoretical references for cultural heritage research.

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基于多元贝叶斯模型的文化遗产空间分布驱动因素评估——以庐山县为例

文化遗产承载着各个历史时期的物质文化内涵。本研究采用贝叶斯模型对庐山县文化遗产空间分布的驱动因素进行了评价。研究结果表明，首先，层次贝叶斯模型有效地捕捉了不同遗产类型驱动因素的异质性，并量化了其强度的变化。②空间分布呈现“南密北疏”格局。总体上，海拔高度、距离聚落的距离和距离文化中心的距离对遗产密度有显著的负向影响，而距离地质灾害遗址的距离对遗产密度有显著的正向影响。第三，社会驱动因素的影响显著大于自然驱动因素，且随着时间的推移，社会驱动因素的影响不断增强。第四，回归系数的显著性以及各驱动因素影响的强度和方向在不同的遗产类型中存在差异。这些结果为文化遗产研究提供了数据驱动的方法和理论参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

npj Materials Degradation MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

7.80

自引率

7.80%

发文量

审稿时长

6 weeks

期刊介绍： npj Materials Degradation considers basic and applied research that explores all aspects of the degradation of metallic and non-metallic materials. The journal broadly defines ‘materials degradation’ as a reduction in the ability of a material to perform its task in-service as a result of environmental exposure. The journal covers a broad range of topics including but not limited to: -Degradation of metals, glasses, minerals, polymers, ceramics, cements and composites in natural and engineered environments, as a result of various stimuli -Computational and experimental studies of degradation mechanisms and kinetics -Characterization of degradation by traditional and emerging techniques -New approaches and technologies for enhancing resistance to degradation -Inspection and monitoring techniques for materials in-service, such as sensing technologies