Spatial patterns of Geological Culture Villages (Towns) and their influential factors in China

IF 2.6 1区艺术学 Q2 CHEMISTRY, ANALYTICAL

Heritage Science Pub Date : 2024-08-21 DOI:10.1186/s40494-024-01421-z

Yunxing Zhang, Zhenyu Zhang, Chenchen Lu, Meiyu Yang, Zhengyu Zhao, Cuihua Gu

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引用次数: 0

Abstract

Geological Culture Villages Towns (GCV(T)s) serve as rich repositories of geological resources, embodying significant historical and cultural values that mirror the dynamic interplay between Earth's evolution and human societies. Despite their importance, the theoretical underpinnings of GCV(T)s have not been thoroughly explored and elucidated. This study explores the relationship between geological culture and societal development, revealing the linkage between geological culture and societal advancement with the aim of promoting a harmonious coexistence between humanity and the environment. Focusing on 96 GCV(T)s in China, this study employs spatial analytical techniques such as the nearest-neighbor index, kernel density analysis, geographic connectivity, and geographic detector to scrutinize the spatial distribution patterns and identify key influencing factors. The findings reveal that (1) GCV(T)s exhibit uneven distribution, with concentrations in the Yangtze River Delta region, Beijing-Tianjin-Hebei region, and Shanxi-Gansu and Ningxia Provinces. (2) These sites tend to be situated in areas characterized by active geological formations, abundant geological relics, higher elevations, gentle topography, and ample rainfall. (3) The establishment and evolution of GCV(T)s are shaped by a complex interplay of geological heritage, natural factors, and human interventions. While the selection and spatial arrangement of these sites are predominantly influenced by geological and natural factors, the innovative development of their geological cultural heritage is driven by humanistic considerations. Overall, the distribution and evolution of GCV(T)s stem from multifaceted interactions among diverse factors. Recognizing this intricate web of influences is crucial for safeguarding geocultural diversity and formulating conservation strategies for geoheritage protection. The development of GCV(T)s transcends mere geoheritage preservation, it embodies a pivotal stride toward safeguarding the varied and multi-dimensional global geoheritage.

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中国地质文化村（镇）的空间格局及其影响因素

地质文化村镇（GCV(T)s）是地质资源的丰富宝库，体现了重要的历史和文化价值，反映了地球演化与人类社会之间的动态互动。尽管地质变异（T）具有重要意义，但其理论基础尚未得到深入探讨和阐明。本研究探讨了地质文化与社会发展之间的关系，揭示了地质文化与社会进步之间的联系，旨在促进人类与环境的和谐共存。本研究以中国 96 个地质遗迹（T）为研究对象，采用最近邻指数、核密度分析、地理连通性和地理矢量等空间分析技术，对其空间分布格局进行了研究，并找出了关键的影响因素。研究结果表明：（1）GCV（T）分布不均，主要集中在长江三角洲地区、京津冀地区、陕甘宁三省。(2）这些地点多位于地质构造活跃、地质遗迹丰富、海拔较高、地势平缓、雨量充沛的地区。(3) 地质遗迹、自然因素和人为干预的复杂相互作用，决定了全球龙卷风（T）的形成和演变。虽然这些地点的选择和空间布局主要受地质和自然因素的影响，但其地质文化遗产的创新发展则受人文因素的驱动。总之，全球文化遗址（T）的分布和演变源于各种因素之间多方面的相互作用。认识到这一错综复杂的影响网络对于保护地质文化多样性和制定地质遗产保护战略至关重要。全球地质文化多样性（传统）的发展超越了单纯的地质遗产保护，它体现了向保护多样、多维的全球地质遗产迈出的关键一步。

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来源期刊

Heritage Science Arts and Humanities-Conservation

CiteScore

4.00

自引率

20.00%

发文量

183

审稿时长

19 weeks

期刊介绍： Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.