Skip to main content

ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1477693

Spatial Patterns and Its Influencing Factors on Villages around the Ji-shaped Bend of the Yellow River

Provisionally accepted
Zhiqiang Wang Zhiqiang Wang 1Shuang Jiang Shuang Jiang 1Shuang Xu Shuang Xu 1*Jianxun Zhang Jianxun Zhang 2Faisal Mumtaz Faisal Mumtaz 3Maomao Zhang Maomao Zhang 4*
  • 1 Inner Mongolia University of Technology, Hohhot, China
  • 2 Qinghai University, Xining, Qinghai Province, China
  • 3 University of Chinese Academy of Sciences, Beijing, Beijing, China
  • 4 Huazhong University of Science and Technology, Wuhan, Hubei Province, China

The final, formatted version of the article will be published soon.

    The Ji（几）-shape bend of the Yellow River is of important ecological value, with diverse geographic and cultural settings. Influenced by documents and policies, as well as the unique topography of the region, Inner Mongolia was chosen as the research object. Existing research has mostly focused on the single dimension, but this article conducts research from multiple dimensions. The differentiated development ideas of the villages were discussed and their overall distribution pattern was determined, in terms of the characteristics of the Ji-shape bend of the Yellow River. This article mainly used the research method of Arc GIS10.8, the big data research methods such as imbalance index, Gini coefficient, geographic concentration index, Geodetector, and other methods were used, laying the groundwork for additional analysis of various factors. Hence, the subsequent study findings were attained. (1) The distribution pattern in the village system around the Ji-shape bend of the Yellow River seems to be a positive spatial correlation, with the characteristics of random distribution, uneven spatial distribution, and low concentration, with Hohhot-Baotou serving as a center. (2) Natural factors are the most important factors in the distribution of villages. (3) Among the natural factors, elevation (0.244619), the value of slope (0.319805), and the aspect of slope (0.074089) appear to be the strongest explanatory power. Among the social factors, the rate of urbanization (0.019082), highway density (0.019082), and percentage of tertiary industry (0.018422) show the strongest explanatory power on socioeconomic factors. Ultimately, it was proposed that the importance of climate change should be emphasized to preserve and promote village growth, and ecological construction should be included in the villages located on the river basin, as well as protection measures. The article may serve as a reference for the subsequent village construction and development.

    Keywords: Spatial characteristics, Influencing factors, land use, 5409 villages, Inner Mongolia，, GIS

    Received: 08 Aug 2024; Accepted: 19 Sep 2024.

    Copyright: © 2024 Wang, Jiang, Xu, Zhang, Mumtaz and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Shuang Xu, Inner Mongolia University of Technology, Hohhot, China
    Maomao Zhang, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.