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METHOD FOR CONSTRUCTING URBAN SPACE HOLOGRAPHIC MAP BASED ON MULTI-SOURCE BIG DATA FUSION

Abstract(summary):

A method for constructing an urban space holographic map based on multi-source big data fusion. Green vegetation, municipal engineer projects, the physical environment (comprising the urban noise environment, urban wind environment, urban heat environment, and heat island effect), industrial institution POI, human and traffic activities, human perception evaluations within the coverage of an entire urban space are mapped to a cloud database via different layers, different types of data and spatial features are combined with urban space patterns and intuitively and dynamically displayed and outputted, and made available for real-time detection by various urban systems, thus facilitating the implementation of urban planning and design projects. The present method, based on a cloud data end, is capable of handling the processing of massive data and performing real-time quick query and display; by superimposing multi-source big data and urban space pattern data under a same digital map system, implemented are urban coordinate system-based seamless and continuous collection of multi-source data interfaces and analog dynamic display of spatial features.


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