[1]薛靖裕,高 元.基于地理探测器的黄土高原地区传统村落空间分异及影响因素研究——以晋陕黄河沿岸为例[J].西安建筑科技大学学报(自然科学版),2022,54(06):873-880.[doi:10.15986/j.1006-7930.2022.06.010 ]
　XUE Jingyu,GAO Yuan.Spatial divergence and influencing factors of traditional villages in loess plateau based on geodetector: A case study of the area along the Yellow River in Shanxi and Shaanxi[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2022,54(06):873-880.[doi:10.15986/j.1006-7930.2022.06.010 ]
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基于地理探测器的黄土高原地区传统村落空间分异及影响因素研究——以晋陕黄河沿岸为例()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
54
期数:
2022年06期
页码:
873-880
栏目:
西部“一带一路”沿线城镇绿色更新发展
出版日期:
2022-12-28

文章信息/Info

Title:
Spatial divergence and influencing factors of traditional villages in loess plateau based on geodetector: A case study of the area along the Yellow River in Shanxi and Shaanxi
文章编号:
1006-7930(2022)06-0873-08
作者:
薛靖裕1; 高 元2
(1.西安建筑科技大学 建筑学院,陕西 西安 710055; 2.西部绿色建筑国家重点实验室,陕西 西安 710055)
Author(s):
XUE Jingyu1; GAO Yuan2
(1.School of Architecture, Xi'an Univ. of Arch & Tech., Xi'an 710055,China; 2.State Key Laboratory of Green Building in Western China, Xi'an 710055, China)
关键词:
黄河晋陕沿岸;  传统村落;  空间分布特征;  地理探测器
Keywords:
area along the Yellow River in Shanxi and Shaanxi;  traditional villages;  spatial distribution characteristics;  Geodetector
分类号:
TU982
DOI:
10.15986/j.1006-7930.2022.06.010
文献标志码:
A
摘要:
传统村落是中华文明的重要载体,其空间分布及其影响因素研究,一直以来是传统村落保护的重要方向,地理探测器在空间分异方面的分析能够有效刻画影响因子对于传统村落空间分布作用关系.因此,本文以整体性和关联性研究方法为理论基础,通过核密度分析与地理探测器等模型,系统构建了黄河晋陕沿岸传统村落空间分布影响因素指标体系,分析了传统村落在多尺度下的空间分布特征及影响因素的作用机制.结果表明:①在地域文化影响下,黄河晋陕沿岸传统村落在空间分布上表现出明显的沿黄、沿边分布特征; ②黄河晋陕沿岸传统村落局部分异受到多因素共同作用,且多为双因子增强型.同时,通过对于主导因子的识别与解析,对未来黄河晋陕沿岸已有传统村落整体性保护以及潜在传统村落识别与发现具有重要意义.
Abstract:
Traditional villages are important carriers of Chinese civilization, and the study on their spatial distribution and influencing factors has always been an important direction for the protection of traditional villages. The analysis of Geodetector in spatial differentiation can effectively depict the effect of influence factors on the spatial distribution of traditional villages. Therefore, based on the research methods of integrity and relevance, this paper systematically constructs the index system of the influencing factors of the spatial distribution of traditional villages along the Yellow River in Shanxi and Shaanxi through the models of nuclear density analysis and geodetector, and analyzes the spatial distribution characteristics of traditional villages at multiple scales and the mechanism of influencing factors. The results show that:(1)under the influence of regional culture, the spatial distribution of traditional villages along the Shanxi-Shaanxi bank of the Yellow River shows obvious characteristics of distribution along the Yellow River and along the edge of the river;(2)the local differentiation of traditional villages along the Shanxi-Shaanxi bank of the Yellow River is influenced by a combination of factors, and most of them are two-factor enhanced. At the same time, the identification and analysis of the dominant factors is of great significance for the future conservation of existing traditional villages along the Shanxi-Shaanxi bank of the Yellow River, as well as the identification and discovery of potential traditional villages.

参考文献/References:

[1]许建和,柳肃,毛洲,等.中国传统村落的空间分布特征与保护系统方案[J].湖南大学学报(社会科学版),2021,35(2):152-160.
XU Jianhe, LIU Su, MAO Zhou, et al. Spatial distribution characteristics of traditional villages in China and protection system scheme [J]. Journal of Hunan University(Social Science), 2021,35(2): 152-160.
[2]赵宏波,魏甲晨,苗长虹,等.黄河流域历史文化名城名镇名村的空间分异与影响因素分析[J].干旱区资源与环境,2021,35(4):70-77.
ZHAO Hongbo, WEI Jiachen, MIAO Changhong, et al. Analysis of spatial differentiation and influencing factors of famous towns and villages in the Yellow River Basin [J]. Journal of Arid Land Resources and Environment, 2021,35(4): 70-77.
[3]董艳平,刘树鹏.基于GIS的山西省传统村落空间分布特征研究[J].太原理工大学学报,2018,49(5):771-776.
DONG Yanping, LIU Shupeng. Study on spatial distribution characteristics of traditional villages in Shanxi province based on GIS [J]. Journal of Taiyuan University of Technology, 2018,49(5): 771-776.
[4]赵中枢,胡敏,徐萌.加强城乡聚落体系的整体性保护[J].城市规划,2016,40(1):77-79.
ZHAO Zhongshu, HU Min, XU Meng. Strengthening the overall protection of urban and rural settlement system [J]. City Planning Review, 2016,40(1): 77-79.
[5]张兵.历史城镇整体保护中的“关联性”与“系统方法”-对“历史性城市景观”概念的观察和思考[J].城市规划,2014,38(S2):42-48, 113.
ZHANG Bing. “Relevance” and “systematic method” in the overall protection of historic towns-observation and reflection on the concept of “historic urban landscape”[J]. City Planning Review, 2014,38(S2):42-48,113.
[6]何依,邓巍,李锦生,等.山西古村镇区域类型与集群式保护策略[J].城市规划,2016,40(2): 85-93.
HE Yi, DENG Wei, LI Jinsheng, et al. Regional types of ancient villages and towns in Shanxi and cluster protection strategies [J]. City Planning Review, 2016,40(2): 85-93.
[7]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
WANG Jinfeng, XU Chengdong. Geographic detector: principle and prospect [J]. Acta Geographica Sinica, 2017,72(1): 116-134.
[8]张松.作为人居形式的传统村落及其整体性保护[J].城市规划学刊,2017(2):44-49.
ZHANG Song. Traditional villages as a form of human settlements and their holistic protection [J]. Urban Planning Forum, 2017(2): 44-49.
[9]杨豪中,韩怡.陕北乡村传统建筑环境与乡土文化的整体性保护研究[J].中国园林,2011,27(10):85-88.
YANG Haozhong, HAN Yi. Research on the integrity protection of rural traditional architectural environment and local culture in Northern Shaanxi [J]. Chinese Landscape Architecture, 2011,27(10): 85-88.
[10]周扬,黄晗,刘彦随.中国村庄空间分布规律及其影响因素[J].地理学报,2020,75(10):2206-2223.
ZHOU Yang, HUANG Han, LIU Yansui. The spatial distribution of villages in China and its influencing factors [J]. Acta Geographica Sinica, 2020,75(10): 2206-2223.
[11]中科院地貌图集编辑委员会.中华人民共和国地貌图集(1:100万)[M].北京:科学出版社,2009:149.
Geomorphology Atlas of Chinese Academy of Sciences. Atlas of Geomorphology of People's Republic of China(1: 1 million)[M]. Beijing: Science Press, 2009:149.
[12]徐新良,张亚庆.中国气象背景数据集[DB/OL].北京:中国科学院资源环境科学数据中心数据注册与出版系统,2017.[2022-04-20]. https://www.resdc.cn.
XU Xinliang, ZHANG Yaqing. China meteorological background data set [DB/OL]. Beijing:Data Registration and Publishing System of Resources and Environmental Science Data Center of China Academy of Sciences, 2017.[2022-04-20].https://www.resdc.cn.
[13]徐新良,刘洛,蔡红艳.中国农田生产潜力数据集[DB/OL].北京:中国科学院资源环境科学数据中心数据注册与出版系统,2017.[2022-04-20]. http://www.resdc.cn.
XU Xinliang, LIU Luo, CAI Hongyan. China farmland productivity potential data set [DB/OL]. Beijing: Data Registration and Publishing System of Resources and Environmental Science Data Center of China Academy of Sciences, 2017.[2022-04-20]. https://www.resdc.cn.
[14]徐新良.中国人口空间分布公里网格数据集[DB/OL].北京:中国科学院资源环境科学数据中心数据注册与出版系统,2017.[2022-04-20]. https://www.resdc.cn.
XU Xinliang. Grid data set of kilometers of population spatial distribution in China [DB/OL]. Beijing:Data Registration and Publishing System of Resources and Environmental Science Data Center of China Academy of Sciences, 2017.[2022-04-20]. https://www.resdc.cn.
[15]徐新良.中国GDP空间分布公里网格数据集[DB/OL].北京:中国科学院资源环境科学数据中心数据注册与出版系统,2017.[2022-04-20]. https://www.resdc.cn.
XU Xinliang. Grid data set of kilometers of GDP spatial distribution in China [DB/OL]. Beijing:Data Registration and Publishing System of Resources and Environmental Science Data Center of China Academy of Sciences, 2017.[2022-04-20]. https://www.resdc.cn.
[16]刘沛林,刘春腊,邓运员,等.中国传统聚落景观区划及景观基因识别要素研究[J].地理学报,2010,65(12):1496-1506.
LIU Peilin, LIU Chunla, DENG Yunyuan, et al. Study on landscape zoning and landscape gene identification elements of traditional settlements in China [J]. Acta Geographica Sinica, 2010,65(12): 1496-1506.
[17]周扬,李寻欢,童春阳,等.中国村域贫困地理格局及其分异机理[J].地理学报,2021,76(4): 903-920.
ZHOU Yang, LI Xunhuan, TONG Chunyang, et al.The geographical pattern and differentiational mechanism of rural poverty in China [J]. Acta Geographica Sinica, 2021,76(4):903-920.

备注/Memo

备注/Memo:
收稿日期:2022-11-08修改稿日期:2022-11-20
基金项目:中国工程院战略研究与咨询项目(2022-XZ-38); 西部绿色建筑国家重点实验室自主研究课题(LSZZ202216); “十三五”国家重点研发计划课题(2019YFD1100904)
第一作者:薛靖裕(1995—),男,博士生,研究方向为本土城乡规划理论与方法、文化遗产保护规划等.E-mail:753622790@qq.com
通信作者:高 元(1988—),男,博士,副教授,硕士生导师,研究方向为本土城乡规划理论与方法、文化遗产保护规划等.E-mail:912865617@qq.com
更新日期/Last Update: 2022-12-28