Urban Transformation and Service Industry Development Based on Spatial Autocorrelation Test

Abstract

Aiming at the interaction between urban transformation and service industry development, an interactive mining method based on urban transformation and service industry is proposed. In light of the problem of large data volume, discrete urban transformation data storage and clustering analysis efficiency, a preprocessing model based on discrete and rasterized check-in data is proposed. The spatial autocorrelation test of urban transformation data and service industry development shows that it has significant spatial clustering characteristics. Taking Xi'an City as an example, this paper carries out data mining and assaying of urban transformation and service industry development. The results show that the interactive mining method based on urban transformation and service industry has a strong correlation with urban planning transformation, which provides a good strategy for urban transformation and effectively promotes the development of service industry.