Analysis of Population Spatial Distribution in Counties of Guangdong Province Based on Spatial Autocorrelation

Yang Yu, Boyuan Liu, Wei Feng, Wei Feng

2024

Abstract

Abstract: resources, and harmonised socio-economic development. This paper employs spatial autocorrelation analysis, complemented by population density and range methodologies, to scrutinise the county-level permanent population figures of Guangdong Province for the years 2010, 2015, and 2020. The focus lies in exploring the spatial distribution features of the population across Guangdong Province. The findings indicate that the population in Guangdong Province predominantly congregates along the coastal regions, exhibiting a discernible gradient in population density from north to south, accompanied by notable disparities in spatial distribution. A conspicuous clustering tendency is observed in the population spatial distribution, characterised chiefly by high-high and low-low agglomerations, which tend to be concentrated and contiguous, displaying an escalating clustering intensity. High-high agglomerations are predominantly concentrated in the developed zones of the Pearl River Delta, whereas low-low agglomerations are primarily situated in the northern and eastern regions of Guangdong.

Paper Citation

in Harvard Style

Yu Y., Liu B. and Feng W. (2024). Analysis of Population Spatial Distribution in Counties of Guangdong Province Based on Spatial Autocorrelation. In Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE; ISBN 978-989-758-764-1, SciTePress, pages 24-30. DOI: 10.5220/0013572900004671

in Bibtex Style

@conference{icesce24,
author={Yang Yu and Boyuan Liu and Wei Feng},
title={Analysis of Population Spatial Distribution in Counties of Guangdong Province Based on Spatial Autocorrelation},
booktitle={Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE},
year={2024},
pages={24-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013572900004671},
isbn={978-989-758-764-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE
TI - Analysis of Population Spatial Distribution in Counties of Guangdong Province Based on Spatial Autocorrelation
SN - 978-989-758-764-1
AU - Yu Y.
AU - Liu B.
AU - Feng W.
PY - 2024
SP - 24
EP - 30
DO - 10.5220/0013572900004671
PB - SciTePress