发布时间：

2026-07-01

DOI码：

10.1080/24694452.2025.2534549

所属单位：

城市与环境科学学院

论文名称：

Calculating the Hu Huanyong Line

发表刊物：

Annals of the American Association of Geographers

关键字：

Hu Huanyong line;regionalization model;population distribution;spatial aggregation entropy

摘要：

The Hu Huanyong line (Hu line), also known as the Heihe-Tengchong line, has been acknowledged as the foremost geographical demarcation of China's population since its proposal in 1935. It is drawn by subjective judgment based on geographers' remarkable insight, and despite various explanations from different perspectives, no computational method can currently calculate it. This research aims to address this challenging issue. Calculating the Hu line essentially involves solving a regionalization problem that has yet to be fully resolved. Using spatial aggregation entropy (SAE), an effective measure of spatial heterogeneity, we propose a new SAE regionalization model that tackles the optimal regionalization problem. With the SAE regionalization model, by conducting the two-partition regionalization of China's county population density vector data for seven census years, we successfully generate seven calculated Hu lines. The calculated Hu lines validate the efficacy of the SAE regionalization model and confirm the long-term stability of the Hu line on a macro scale. The results also show that the Hexi Corridor region is included within the southeastern side of the calculated Hu lines, which is opposite to the division by the Hu line. By analyzing the multiscale regionalization results, we conclude that the population distribution is dominated by natural environmental factors on the large scale whereas social-economic factors dominate on the small scale. This study's significant contribution is constructing the SAE regionalization model, achieving optimal regionalization, based on which the data-driven computational method of the Hu line is proposed. The SAE regionalization model is not only a powerful computational tool for exploring the evolution of population distribution but also able to be applied to regionalizing calculations in any other field.

第一作者：

肖佳

论文类型：

期刊论文

论文编号：

1973035377128247296

文献类型：

00001

页面范围：

22

ISSN号：

2469-4452

是否译文：

否

发表时间：

2025-07-23

收录刊物：

其他（ESI、Scopus、OA）、SSCI