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  • the platform carries spatio-temporal dynamic information of " human-vehicle-space-event-object" and builds a big data map in the matters of 2d and 3d gis, remote sensing images and 3d modeling, which provides massive geospatial services and intelligent applications for the government and the public.

    • with the aim for achievement big data for government with time and space in one map, the problem of source data clutter must be solved in the primary.theconcept of public data referring to the common and necessary data withoutrepeated construction is introduced for the first time. it plays an essentialrole in government decision-making, daily management, emergency linkagecommand, and the provision of public services.


    the issue of data quality must be addressed secondly. by means of improving the datastandard specification and production system to achieve refined data management,theunified datapool is established, which eliminates data silos and effectivelytackles the difficulties of “duplicated collection, chaotic caliber, decentralized management,self-contained system, poor sharing, and low utilization“. it changes "raw data, zombie data, and garbage data"into "cleaned data, fresh data, and valuable data", presentingspatial and temporal big data in one map.


    the platform establishes one map with all elements of space-time to support variouskinds of wisdom applications by the means that the spatio-temporal big data isregarded as base map to integrate government data including population information,legal representatives, building and infrastructure distribution, macroeconomicsituation, etc. and add thematic data including city administration trafficsituation, crowd gathering, government affairs, livelihood services, public sentiment, etc.


    • a complete process system of data collection, production, governance and service is applied in the construction of public data sets to efficiently carry out a series of data lean governance work such as public data collection, cleaning, processing, integration, modeling and analysis.
    • the platform, taking full advantages of data from physical models, sensor equipment and operational history, realizes real-time simulation, monitoring, diagnosis, analysis, prediction and control of urban objects in the data world to build a closed-loop system of data.
    • big data for government with time and space in one map focuses on data governance and sharing to ensure the availability, security and openness of data by formulating relevant processes, guidelines and standards.
    • the platform adopts 2d/3d visualization and combines components including charts, labels, dashboards and cockpits to build an interactive platform that facilitates all-round control and rapid response to events.
    • based on the geospatial framework, a sharing service platform is constructed to realize cross-sectoral and cross-industry resource exchange, which integrates and utilizes varieties of data including 20 million pieces of population data, 270,000 pieces of legal representative data, 30,000 pieces of medical and education data, 180,000 pieces of industrial and commercial data, 20,000 pieces of financial service data, 100,000 pieces of restaurant data, 20,000 pieces of entertainment data, 15,000 pieces of hotel data, 10,000 pieces of sports facility data, 10,000 pieces of transportation service data, 20,000 pieces of logistics data, 200,000 pieces of shopping data, etc. to ultimately achieve the application of geographic and economic data in social stability and long-term security.
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