刘纪平, 董春, 亢晓琛, 邱士可, 赵荣, 栗斌, 孙立坚. 大数据时代的地理国情统计分析[J]. 武汉大学学报 ( 信息科学版), 2019, 44(1): 68-76, 83. DOI: 10.13203/j.whugis20180420
引用本文: 刘纪平, 董春, 亢晓琛, 邱士可, 赵荣, 栗斌, 孙立坚. 大数据时代的地理国情统计分析[J]. 武汉大学学报 ( 信息科学版), 2019, 44(1): 68-76, 83. DOI: 10.13203/j.whugis20180420
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

大数据时代的地理国情统计分析

National Geographical Conditions Statistical Analysis in the Era of Big Data

  • 摘要: 统计分析是实现地理国情数据向地理国情信息转换的重要手段,可以从不同维度反映资源、环境、生态、经济等要素的内在空间特性及其相互作用。针对大数据统计分析面临的高效管理、高强度计算和深度服务需求,提出了地理国情大数据统计分析的技术框架,并从大数据存储与融合、统计计算关键技术、服务建模与应用3个维度探讨了地理国情统计分析的核心流程。该研究成果将有助于提升地理国情监测和统计分析在自然资源监管、生态保护修复等领域中的应用水平,推动测绘地理信息产业的转型升级。

     

    Abstract: 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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