Research on the spatial characteristics of population distribution in the main urban area of Kunming based on geographic information system

Min Yang; Yang Wang

doi:10.1117/12.2667715

10 February 2023 Research on the spatial characteristics of population distribution in the main urban area of Kunming based on geographic information system

Min Yang, Yang Wang

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521Z (2023) https://doi.org/10.1117/12.2667715
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Population is the most active factor in urban development, and GIS can analyze and visualize the spatial characteristics of population distribution within a city. Based on mobile phone signaling data, this paper uses three methods in geographic information system analysis software (ArcGIS) to analyze the spatial characteristics of population distribution in the main urban area of Kunming by using three methods: kernel density analysis, trend surface analysis and spatial autocorrelation analysis. The results show that: 1) the combination of mobile phone signaling data and geographic information system can more accurately and conveniently study the spatial distribution characteristics of residential population in cities; 2) The overall spatial distribution of the residential population in the main urban area of Kunming is uneven, with the central area (Third Ring District) being significantly concentrated and the peripheral (new urban area) relatively scattered.

Citation Download Citation

Min Yang and Yang Wang "Research on the spatial characteristics of population distribution in the main urban area of Kunming based on geographic information system", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521Z (10 February 2023); https://doi.org/10.1117/12.2667715

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