LIU Jiping, DONG Chun, KANG Xiaochen, QIU Shike, ZHAO Rong, LI Bin, SUN Lijian. National Geographical Conditions Statistical Analysis in the Era of Big Data[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 68-76, 83. DOI: 10.13203/j.whugis20180420
Citation: LIU Jiping, DONG Chun, KANG Xiaochen, QIU Shike, ZHAO Rong, LI Bin, SUN Lijian. National Geographical Conditions Statistical Analysis in the Era of Big Data[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 68-76, 83. DOI: 10.13203/j.whugis20180420

National Geographical Conditions Statistical Analysis in the Era of Big Data

  • Statistical analysis is an important way of extracting information from the national geographical conditions data. It can reflect the internal spatial characteristics of resources, environment, ecology and economy, and their interactions from different dimensions. In view of the high-efficiency management, high-intensity computation and deep-level service for statistical analysis based on the big data, this paper puts forward a technical framework of national geographical conditions statistical analysis, and discusses the core process of statistical analysis from three dimensions:big data storage and integration, key technologies for statistical computation, service modeling and application. This paper will help to improve the application level of national geographical conditions monitoring and statistical analysis service in natural resources supervision, ecological protection and restoration, etc., and can promote the transformation and upgrading of geographical information industry in China.
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