Pattern and characteristics of buildings distribution in Guangzhou’s urban district based on the geographic information big data

Xiaoli Yue; Yang Wang

doi:10.1117/12.2667299

10 February 2023 Pattern and characteristics of buildings distribution in Guangzhou’s urban district based on the geographic information big data

Xiaoli Yue, Yang Wang

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520Y (2023) https://doi.org/10.1117/12.2667299
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Taking the geographic information big data of single buildings data, based on the Geographical Information System (GIS), the spatial pattern and characteristics of buildings' distribution in Guangzhou’s urban district are analyzed by using the methods of average nearest neighbor distance analysis, kernel density estimation, and spatial autocorrelation analysis, and the calculation method of community building density is constructed. The results show that: (1) Geographic information big data is applicable as an important data source for studying the pattern and characteristics of intra-urban buildings; (2) The results of GIS-based research show that the distribution of single buildings in Guangzhou’s urban district is strongly clustered, with super-high-rise buildings having the highest agglomeration degree, and the building height showing multi-core planar agglomeration, hot spots are mainly distributed in the old area, the core area, and the east, south, and north of the urban district; (3) The GIS-based spatial statistical analysis shows that the building density has significant spatial autocorrelation, and the building density is higher in the old area, the north side of the Pearl River in the core area, the east side of the Pearl River in the urban district and the north side of the eastern Pearl River. Generally speaking, the spatial difference of building density in Guangzhou’s urban district is obvious. The building density in the west is higher than that in the east, and the central area is significantly higher than that in the edge area. The distribution pattern of buildings follows the natural geographical characteristics of "near mountains and rivers."

Citation Download Citation

Xiaoli Yue and Yang Wang "Pattern and characteristics of buildings distribution in Guangzhou’s urban district based on the geographic information big data", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520Y (10 February 2023); https://doi.org/10.1117/12.2667299

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KEYWORDS

Buildings

Autocorrelation

Statistical analysis

Geographic information systems

Analytical research

Geography

Matrices

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