ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2022, Vol. 59 ›› Issue (2): 255-263.doi: 10.7544/issn1000-1239.20220108

所属专题: 2022空间数据智能专题

• 人工智能 • 上一篇    下一篇

空间数据智能:概念、技术与挑战

宋轩1,高云君2,李勇3,关庆锋4,孟小峰5   

  1. 1(南方科技大学计算机科学与工程系 广东深圳 518055);2(浙江大学计算机科学与技术学院 杭州 310027);3(清华大学电子工程系 北京 100084);4(中国地质大学(武汉)地理与信息工程学院 武汉 430078);5(中国人民大学信息学院 北京 100190) (songx@sustech.edu.cn)
  • 出版日期: 2022-02-01

Spatial Data Intelligence: Concept, Technology and Challenges

Song Xuan1, Gao Yunjun2, Li Yong3, Guan Qingfeng4, Meng Xiaofeng5   

  1. 1(Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055);2(College of Computer Science and Technology, Zhejiang University, Hangzhou 310027);3(Department of Electronic Engineering, Tsinghua University, Beijing 100084);4(School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078);5(School of Information, Renmin University of China, Beijing 100190)
  • Online: 2022-02-01

摘要: 随着空间数据体量的持续增长,空间数据所蕴含的价值巨大.传统的数据感知存储技术和处理分析方法已然不能充分挖掘海量空间数据的价值.因此,空间数据智能,一个专注于海量空间数据的研究与应用的多学科交叉的领域,正扮演着越来越重要的角色.介绍了空间数据智能的概念、空间数据智能领域所面临的技术挑战及空间数据智能的关键技术,同时介绍了空间数据智能在社会生活中的典型应用场景,最后对空间数据智能研究的发展做出了展望.

关键词: 空间数据智能, 空间数据, 时空数据库, 空间感知, 时空数据分析, 数据安全

Abstract: As the volume of spatial data continues to grow, the value contained in spatial data is enormous. Traditional technologies of data sensing, data storage, data processing, and data analysis have been unable to fully extract the value of massive spatial data. Therefore, spatial data intelligence, a multidisciplinary field focusing on the research and application of massive spatial data, is playing an increasingly important role. This paper introduces the concept of spatial data intelligence, the technical challenges faced in the field of spatial data intelligence and the key technologies of spatial data intelligence. Typical application scenarios of spatial data intelligence in social life are also introduced. Finally, the future trends of the research of spatial data intelligence are discussed in the paper.

Key words: patial data intelligence, spatial data, spatio-temporal database, spatial sensing, spatio-temporal data analysis, data security

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