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大数据时代的地理国情统计分析.

Authors :
刘纪平
董 春
亢晓琛
邱士可
赵 荣
栗 斌
孙立坚
Source :
Geomatics & Information Science of Wuhan University. Jan2019, Vol. 44 Issue 1, p68-83. 10p.
Publication Year :
2019

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 a-nalysis. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16718860
Volume :
44
Issue :
1
Database :
Academic Search Index
Journal :
Geomatics & Information Science of Wuhan University
Publication Type :
Academic Journal
Accession number :
133949513
Full Text :
https://doi.org/10.13203/j.whugis20180420