研究中文姓氏的空间对称图案的研究
Xiaohui Fan1, Xuemin Zhang2, Yuan Gao1
1School of Systems Science, Beijing Normal University, Beijing, China.
概括
中国姓氏分布显示了基于空间的五个类别,反映了历史的迁移和扩散模式. 长期建立的姓氏显示广泛分布,而新的姓氏则更加集中.
科学领域:
- 人口统计学 人口统计学
- 人口遗传学 人口遗传学
- 历史地理 历史地理
背景情况:
- 中国姓氏表现出由历史人口动态塑造的多样化的空间分布.
- 了解这些模式可以了解迁移和扩散过程.
研究的目的:
- 分析中文姓氏的空间角图,以了解它们的历史传播和迁移.
- 根据空间自关联模式对姓氏进行分类,并确定影响因素.
主要方法:
- 利用来自中国国家公民身份信息中心的128亿个人的姓名和县级数据.
- 计算了380个常见姓氏的空间相关图,以评估跨地理距离的自身相关性.
- 应用集群分析将姓氏分为五类:cline (C),轻微cline (SC),隔离因距离 (IBD),抑郁 (D) 和IBD+D.
主要成果:
- 确定了五个不同的空间曲线图类别:C,SC,IBD,D和IBD+D.
- 类别C的姓氏显示广泛,均分布与高自相关性;SC姓氏具有较低的自相关性,但广泛扩散.
- IBD姓氏集中在区域,自相关性较低;D和IBD+D姓氏与抑郁症呈现长距离自相关性.
结论:
- 广泛分布的姓氏 (例如,C类) 表明历史悠久,传播时间长.
- 集中的姓氏分布 (例如,IBD类别) 表明最近的起源或地理隔离.
- 大规模的长途移民显著影响了姓氏分布,特别是在D类和IBD+D类别.
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