Identifying the spatial differentiation factors of traditional villages in China

中国 地理 可持续发展 分布(数学) 空间分布 植被(病理学) 自然地理学 生态学 遥感 考古 医学 数学分析 数学 病理 生物
作者
Wanxu Chen,Zhen Yang,Liyan Yang,Jianhua Wu,Jiaojiao Bian,Jie Zeng,Zhiling Liu
出处
期刊:Heritage Science [Springer Science+Business Media]
卷期号:11 (1) 被引量:15
标识
DOI:10.1186/s40494-023-00994-5
摘要

Abstract China's agricultural civilization had left numerous traditional villages (TVs) containing rich historical information and cultural landscape. Exploration the spatial agglomeration characteristics of TVs and their influencing factors is essential for the sustainable development, utilization, and protection of TVs in China. However, previous studies lacked a comprehensive analysis of the spatial distribution of TVs and their driving factors, especially at the national scale. To fill this gap, this study analyzed the spatial agglomeration characteristics and influencing factors of five batches of TVs in China during 2012–2019. The results show that TVs in China were mainly located east of the Hu Line, that is, in the southern and eastern regions of China. The spatial distribution of TVs had significant clustering characteristics, and the gravity center was mainly distributed in central China, and the compactness of the spatial distribution of TVs increased from the first to the fifth batches. The TVs were mainly located at low elevations, northern slope aspect, warm and humid areas. Ferralisol and cultivated vegetation were the main soil and vegetation types in most TVs. TVs tended to be more numerous in the vicinity of low economic development levels, low population density, and rivers. In addition, TVs had a significant correlation with intangible cultural heritage. The results of this study could provide scientific guidance for heritage protection and sustainable development of TVs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汉堡包应助KL采纳,获得10
1秒前
ANKAR完成签到,获得积分10
1秒前
nuo_11完成签到,获得积分10
2秒前
隐形曼青应助种花兔采纳,获得10
4秒前
深情安青应助咕咕咕采纳,获得10
4秒前
浮游应助小姜采纳,获得10
4秒前
Orange应助咕咕咕采纳,获得10
4秒前
花花完成签到,获得积分10
6秒前
6秒前
未来完成签到,获得积分10
6秒前
宅了五百年完成签到,获得积分10
8秒前
8秒前
Freeasy完成签到 ,获得积分10
9秒前
花花发布了新的文献求助10
9秒前
Potaku完成签到,获得积分10
9秒前
10秒前
12秒前
清水胖子发布了新的文献求助10
12秒前
脑洞疼应助小闵采纳,获得10
14秒前
Bethany0215完成签到,获得积分10
15秒前
muzi发布了新的文献求助10
15秒前
852应助ERIS采纳,获得30
16秒前
17秒前
安详的曲奇完成签到,获得积分10
17秒前
冲浪男孩发布了新的文献求助10
18秒前
19秒前
22秒前
SciGPT应助熊升树采纳,获得10
22秒前
辛勤的碧萱完成签到,获得积分10
22秒前
可爱的函函应助Cssss采纳,获得10
23秒前
英姑应助大点搞采纳,获得10
23秒前
爱笑的无心完成签到 ,获得积分10
23秒前
打打应助清水胖子采纳,获得10
24秒前
24秒前
xia完成签到,获得积分10
26秒前
笛卡尔发布了新的文献求助10
27秒前
27秒前
结实的皮皮虾完成签到,获得积分10
28秒前
CipherSage应助ccalvintan采纳,获得20
28秒前
Wei_Li发布了新的文献求助10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Fermented Coffee Market 2000
A Modern Guide to the Economics of Crime 500
PARLOC2001: The update of loss containment data for offshore pipelines 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5271588
求助须知:如何正确求助?哪些是违规求助? 4429244
关于积分的说明 13787991
捐赠科研通 4307583
什么是DOI,文献DOI怎么找? 2363636
邀请新用户注册赠送积分活动 1359308
关于科研通互助平台的介绍 1322221