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In order to improve the geometric form space composition and color planning analysis ability of smart city public buildings, a big data based smart city public building space design method is proposed. The method of combining computer vision detection and remote sensing detection is adopted to realize the detection of big data characteristics of spatial combination at the aesthetic level of building structure, and the difference distribution model of spatial composition parameters of buildingdoi:10.1155/2022/4733901 pmid:36060884 pmcid:PMC9436561 fatcat:dalzjhgc35atppbnhu3ibw7i7m