时空大数据处理的需求、应用与挑战

发布时间：2018-03-08 08:04

  本文选题：时空信息处理　切入点：大数据　出处：《测绘地理信息》2016年06期 　论文类型：期刊论文

【摘要】：时空信息不仅是大数据的重要组成部分,更可被看成是大数据本身。从大数据时代时空信息处理面临的新需求出发,包括时空信息处理需要大数据平台、大数据库、新的快速计算模型和分析方法,以及时空信息安全和标准化等,阐述了时空信息和大数据相辅相成的紧密联系,并对当今时空大数据的应用和挑战举例分析,描述了现今时空大数据的典型应用及其处理技术存在的问题,并对如何解决和将来的发展方向提出了新的思路。
[Abstract]:Spatio-temporal information is not only an important part of big data, but also can be seen as big data itself. Proceeding from the new needs of spatio-temporal information processing in the period of big data, including the need for the big data platform and the large database for space-time information processing, The new fast computing model and analysis method, as well as the safety and standardization of spatio-temporal information, etc., have expounded the close relationship between space-time information and big data, and analyzed the application and challenge of current spatio-temporal big data. This paper describes the typical application of present space-time big data and the problems existing in its processing technology, and puts forward new ideas on how to solve the problem and how to develop in the future.
【作者单位】： 武汉大学国际软件学院;湖北工业大学计算机学院;
【基金】：国家自然科学基金资助项目(41501441) 湖北省环境保护厅环保科研资助项目(2014HB04)~~
【分类号】：P208
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本文编号：1583055