摘要
合理开发和保护各区域传统村落,是传承中华文脉的主要途径之一.以山东省411个"传统村落"为研究对象,通过地理信息技术测度其地理信息,从宏观角度综合分析山东省传统村落的空间分布格局及影响因素.研究表明:1)山东省传统村落具有明显的空间集聚特点,集中分布在鲁中南山区和胶东丘陵区; 2)不同地形区内传统村落分布数量差异大,平原区分布数量多,所占比重达到67.1%,而山地分布密度大,受地形限制集中分布; 3)传统村落的分布与海拔高程具有明显的正相关性,且向阳性特征显著,在阳坡集中了56.4%的传统村落,传统村落沿河沿湖分布明显.另外,从社会经济、历史文化、保护观念等人文要素探索了影响传统村落空间分布的因素及其发生作用的方式,以期为山东省传统村落的遗产保护和可持续发展提供指导.
The concerns and protecting traditional villages in region is one of the principal pathways to inherit Chinese culture. Taking 411 traditional villages in Shandong province as the study areas, the aim of this study is to measure its geographic information using the geographical information technology, to analyze its spatial distribution patterns and affecting factors based on the comprehensive analysis method.The results villages in Shandong province have an obvious spatial clustering characteristic, and indicate that the traditional villages are concen southern mountainous areas of Shandong and the Jiaodong hilly areas. There has a big difference of the tr^ted in the q^antities of the traditional villages in different regions, with 67.1 percent are distributed at the plain area, and the rest of the traditional villages centralize in mountainous region because of the limits of topography. Besides, the distribution of traditional villages has obvious positive correlation with elevation, with 56.4 percent are concentrated at the sun side. In addition, this study explores the effect factors and ways of the spatial distribution from the view of social economy, historical culture and other humanism elements. Our findings can provide a guidance for heritage conversion and sustainable development of traditional villages in Shandong province.
作者
李晓彤
宋俊学
程钰
Li Xiaotong;Song Junxue;Cheng Yu(School of Geography and Environment,Shandong Normal University,250358,Jinan,China)
出处
《山东师范大学学报(自然科学版)》
CAS
2018年第3期334-343,共10页
Journal of Shandong Normal University(Natural Science)
基金
国家自然科学基金项目(41501124)
山东省自然科学基金项目(ZR2015DQ008)
山东省高等学校科技计划项目(J15LH07)
关键词
传统村落
空间格局
影响因素
山东省
traditional village
spatial distribution pattern
influence factor
Shandong province