Ms. Xiaoli Yue Profile

Xiaoli Yue

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Proceedings Article | 10 February 2023 Paper

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

Xiaoli Yue, Yang Wang

Proceedings Volume 12552, 125520Y (2023) https://doi.org/10.1117/12.2667299

KEYWORDS: Buildings, Autocorrelation, Statistical analysis, Geographic information systems, Analytical research, Geography, Nanoimprint lithography, Matrices, Visualization, Standards development

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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."

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