A study of the spatial distribution characteristics of Chinese surnames.

  • Published In: American Journal of Human Biology, 2024, v. 36, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fan, Xiaohui; Gao, Yuan; Liu, Yan; Li, Xiaomeng; Yuan, Yida; Chen, Liujun; Chen, Jiawei 3 of 3

Abstract

Objectives: The spatial distribution of Chinese surnames is diverse and provides rich information about the evolution of human society. This study aims to propose several indices to quantify the spatial distribution characteristics of Chinese common surnames and to explore how these distributions are related to historical evolution. Methods: This study uses data from China's ID information system covering 1.28 billion people across 362 cities. Based on the location quotient, several new concepts, such as "moderately concentrated cities" and "highly concentrated cities," are defined. Then indices such as range, ununiformity and spatial autocorrelation are proposed and calculated to analyze the spatial characteristics of Chinese common surnames. Results: A significant correlation is observed between the commonness of a surname and its spatial characteristics: the more common the surname, the wider its spatial range, the lower the ununiformity, and the higher the autocorrelation coefficient. These patterns reflect the complex interplay of historical, geographical, and cultural factors influencing surname spatial distribution. Conclusions: The spatial distribution of Chinese surnames is intricately linked to their historical evolution. Most common surnames, often with deeper historical roots, exhibit wider distributions and lower ununiformity, whereas less common surnames show higher concentrations in specific areas. These quantitative results provide a comprehensive understanding of the evolutionary characteristics of Chinese surnames. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:American Journal of Human Biology. 2024/08, Vol. 36, Issue 8, p1
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2024
  • ISSN:1042-0533
  • DOI:10.1002/ajhb.24073
  • Accession Number:178814275
  • Copyright Statement:Copyright of American Journal of Human Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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