Issue |
SHS Web Conf.
Volume 157, 2023
2022 International Conference on Educational Science and Social Culture (ESSC 2022)
|
|
---|---|---|
Article Number | 03025 | |
Number of page(s) | 8 | |
Section | Socio-Cultural History and Financial Management | |
DOI | https://doi.org/10.1051/shsconf/202315703025 | |
Published online | 13 February 2023 |
Visualization Analysis of Spatial Characteristics of Traditional Villages in Southeast Shanxi Province
1 Yike Zhang, School of Design Arts and Media, Nanjing University of Science and Technology, Nangjing, Jiangsu 210094, China
2 Zixin Zhang, School of Humanities and Social Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215213, China
* Corresponding author: zhangyike8480@163.com
Traditional villages are rich in material and intangible culture, which is the key point of rural revitalization. Their spatial distribution has certain laws and typical characteristics, which is of great value to the current spatial research of traditional villages. Therefore, this paper chooses one of the core gathering areas of three traditional villages, that is southeast Shanxi Province as the research object. The related GIS spatial analysis method is used to study. The results show that: Traditional villages in southeastern Shanxi Province are in a condensed state, mainly concentrated in the southern region and the southern source of Zhuozhang River, the spatial distribution of villages is closely related to rivers and landforms. From the type point of view, mountain traditional villages are the main ones, while hilly and plain traditional villages are in a minority state, and different types of villages have their own unique spatial construction characteristics. Relevant research contents can provide some reference for the related research of traditional villages in southeast Shanxi Province.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.