详细信息
大运河沿线传统村落与非物质文化遗产的空间关系及其影响因素
Spatial relationship and influencing factors of traditional villages and intangible cultural heritage along the Grand Canal
文献类型:期刊文献
中文题名:大运河沿线传统村落与非物质文化遗产的空间关系及其影响因素
英文题名:Spatial relationship and influencing factors of traditional villages and intangible cultural heritage along the Grand Canal
作者:许启昌[1];时少华[1]
第一作者:许启昌
机构:[1]北京联合大学旅游学院,北京100101
第一机构:北京联合大学旅游学院
年份:2025
卷号:45
期号:3
起止页码:603-612
中文期刊名:地理科学
外文期刊名:Scientia Geographica Sinica
收录:;北大核心:【北大核心2023】;
基金:国家社会科学基金艺术学项目(20BH151);北京市教育委员会科研计划项目(SZ202311417024);北京市社会科学基金一般项目(22GJB024);北京联合大学重点科研项目(SKZD202306)资助。
语种:中文
中文关键词:传统村落与非物质文化遗产;空间自相关;空间错位;大运河
外文关键词:traditional village and intangible cultural heritage;spatial autocorrelation;spatial mismatch;the Grand Canal
摘要:以大运河沿线的546个传统村落和629项非遗为研究对象,综合运用核密度、空间自相关、重心模型、空间错位指数、地理探测器等方法,系统分析了大运河沿线传统村落与非物质文化遗产的空间分布特征,揭示了二者的空间差异关系及影响因素。结果表明:①大运河沿线传统村落与非物质文化遗产均具有明显的空间分布非均衡性特征且二者之间存在较低程度的空间正相关。②传统村落重心与非物质文化遗产重心均有不同程度的偏离,内部空间差异显著。③大运河沿线传统村落与非遗分布的空间差异是多种因素共同作用的结果。自然地理因素对二者的空间差异发挥着客观作用,社会经济、历史文化因素对二者空间差异的影响较为复杂。
This article delves into the study of 546 traditional villages and 629 intangible cultural heritage(ICH)items in 36 prefecture-level and above cities along the Grand Canal.Through the application of methods such as kernel density estimation,spatial autocorrelation analysis,centroid models,spatial mismatch index,and geographic detectors,a comprehensive analysis is conducted on the spatial distribution patterns of traditional villages and ICH along the Grand Canal,revealing the spatial relationship and identifying the key influencing factors.The main conclusions are as follows:1)The spatial arrangement of traditional villages and ICH along the Grand Canal demonstrates positive spatial autocorrelation and clustering features,aligning with findings from prior research.Traditional villages manifest three levels of density clusters with notable north-south distribution distinctions,while ICH exhibits elevated density in both the northern and southern regions,with planar clustering in the central area,resulting in the formation of four clusters(two high and two secondary).2)By employing a bivariate spatial autocorrelation model to analyze the kernel density of traditional villages and ICH,a minimal level of positive spatial correlation is observed.This could be attributed to the limited spatial overlap and substantial spatial mismatch between traditional villages and ICH within the canal basin.3)The centroids of traditional villages and ICH along the Grand Canal exhibit varying degrees of deviation,highlighting notable internal spatial disparities.An analysis of spatial mismatch indicates that traditional villages are predominantly clustered in the central and southern areas of the canal,whereas ICH is primarily concentrated in the northern and central regions.This contrasts with the north-south spatial mismatch pattern observed in the Yangtze River basin.4)The spatial disparities in the distribution of traditional villages and ICH along the Grand Canal stem from a multifaceted interplay of factors.Natural geographic elements play a significant role in shaping the spatial distribution variations,while socio-economic and historical-cultural factors exert more intricate influences on the landscape.In summary,future research endeavors should focus on uncovering the mechanisms that impact the spatial dynamics between traditional villages and ICH along the Grand Canal.It is essential to explore the interactions among various influencing factors,as well as to examine the spatiotemporal evolution patterns and consequences of the distribution of traditional villages and ICH across diverse spatial scales.
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