论大数据视角下的地球空间信息学的机遇与挑战

doi:10.11959/j.issn.2096-0271.2022012

Abstract

Abstract:

The era of big data has arrived, and it has penetrated every aspect of human life.As the geo-spatial information science spawned by the intersection of earth sciences and information sciences, the advent of the era of big data provides it with richer prosperous data protection, but also brings new challenges in data storage, management, analysis, and mining, and even caused a certain degree of “data explosion”.From the perspective of big data, the bottlenecks and challenges in the four core areas of geographic information systems, smart cities, remote sensing big data, and spatial data mining were sorted out.And it was pointed out that geo-spatial information science can provide more accurate and real-time spatial information frameworks and more intelligent and more efficient information processing methods for geoscience research, serving intelligent cities, smart earth construction, and sustainable development in the era of big data.Moreover, in the era of big data, the development of geo-spatial information science is facing the double test of software and hardware levels.

Key words: big data, geographic information system, smart city, remote sensing big data, spatial data mining

CLC Number:

TP79

Deren LI, Guo ZHANG, Yonghua JIANG, Xin SHEN, Weiling LIU. Opportunities and challenges of geo-spatial information science from the perspective of big data[J]. Big Data Research, 2022, 8(2): 3-14.

References 21

[1]	HOWE D , COSTANZO M , FEY P ,et al. Big data:the future of biocuration[J]. Nature, 2008,455(7209): 47-50.
[2]	REICHMAN O J , JONES M B , SCHILDHAUER M P . Challenges and opportunities of open data in ecology[J]. Science, 2011,331(6018): 703-705.
[3]	李德仁 . 展望大数据时代的地球空间信息学[J]. 测绘学报, 2016,45(4): 379-384.
	LI D R . Towards geo-spatial information science in big data era[J]. Acta Geodaetica et Cartographica Sinica, 2016,45(4): 379-384.
[4]	李德仁 . 信息高速公路、空间数据基础设施与数字地球[J]. 测绘学报, 1999,28(1): 1-5.
	LI D R . NII,NSDI and digital earth[J]. Acta Geodaetica et Cartographic Sinica, 1999,28(1): 1-5.
[5]	李德仁, 姚远, 邵振峰 . 智慧城市中的大数据[J]. 武汉大学学报·信息科学版, 2014,39(6): 631-640.
	LI D R , YAO Y , SHAO Z F . Big data in smart city[J]. Geomatics and Information Science of Wuhan University, 2014,39(6): 631-640.
[6]	李德仁, 张良培, 夏桂松 . 遥感大数据自动分析与数据挖掘[J]. 测绘学报, 2014,43(12): 1211-1216.
	LI D R , ZHANG L P , XIA G S . Automatic analysis and mining of remote sensing big data[J]. Acta Geodaetica et Cartographica Sinica, 2014,43(12): 1211-1216.
[7]	李清泉, 李德仁 . 大数据GIS[J]. 武汉大学学报·信息科学版, 2014,39(6): 641-644.
	LI Q Q , LI D R . Big data GIS[J]. Geomatics and Information Science of Wuhan University, 2014,39(6): 641-644.
[8]	李德仁 . 论时空大数据的智能处理与服务[J]. 地球信息科学学报, 2019,21(12): 1825-1831.
	LI D R . The intelligent processing and service of spatiotemporal big data[J]. Journal of Geo-Information Science, 2019,21(12): 1825-1831.
[9]	GORE A . The digital earth:understanding our planet in the 21st century[J]. Photogrammetric Engineering ＆ Remote Sensing, 1998,65(5): 1-4.
[10]	李德仁 . 基于云计算的智慧城市运营脑[J]. 卫星应用, 2018(8): 8-12.
	LI D R . Smart city operation brain based on cloud computing[J]. Satellite Application, 2018(8): 8-12.
[11]	李德仁 . 数字孪生城市智慧城市建设的新高度[J]. 中国勘察设计, 2020(10): 13-14.
	LI D R . Digital twin city smart city construction new height[J]. China Engineering ＆ Consulting, 2020(10): 13-14.
[12]	李德仁 . 从测绘学到地球空间信息智能服务科学[J]. 测绘学报, 2017,46(10): 1207-1212.
	LI D R . From geomatics to geospatial intelligent service science[J]. Acta Geodaetica et Cartographica Sinica, 2017,46(10): 1207-1212.
[13]	李德仁, 王密 . 高分辨率光学卫星测绘技术综述[J]. 航天返回与遥感, 2020,41(2): 1-11.
	LI D R , WANG M . A review of high resolution optical satellite surveying and mapping technology[J]. Spacecraft Recovery ＆ Remote Sensing, 2020,41(2): 1-11.
[14]	李德仁, 丁霖, 邵振峰 . 面向实时应用的遥感服务技术[J]. 遥感学报, 2021,25(1): 15-24.
	LI D R , DING L , SHAO Z F . Applicationoriented real-time remote sensing service technology[J]. National Remote Sensing Bulletin, 2021,25(1): 15-24.
[15]	李德仁, 张华 . 我国测绘遥感技术发展的回顾与展望[J]. 中国测绘, 2019(2): 24-27.
	LI D R , ZHANG H . Review and prospect of mapping and remote sensing technology development in China[J]. China Surveying and Mapping, 2019(2): 24-27.
[16]	李德仁, 王树良, 李德毅 ,等. 论空间数据挖掘和知识发现的理论与方法[J]. 武汉大学学报·信息科学版, 2002,27(3): 221-233.
	LI D R , WANG S L , LI D Y ,et al. Theories and technologies of spatial data mining and knowledge discovery[J]. Editoral Board of Geomatics and Information Science of Wuhan University, 2002,27(3): 221-233.
[17]	李德仁, 王树良, 史文中 ,等. 论空间数据挖掘和知识发现[J]. 武汉大学学报·信息科学版, 2001,26(6): 491-499.
	LI D R , WANG S L , SHI W Z ,et al. On spatial data mining and knowledge discovery (SDMKD)[J]. Editoral Board of Geomatics and Information Science of Wuhan University, 2001,26(6): 491-499.
[18]	PEI J , TSENG V S , CAO L B ,et al. Advances in knowledge discovery and data mining[M]. Heidelberg: Springer, 2013.
[19]	LI D R , DI K C , LI D Y . Knowledge representation and uncertainty reasoning in GIS based on cloud models[C]// Proceedings of the 9th International Symposium on Spatial Data Handling.[S.l.:s.n.], 2000.
[20]	王树良 . 基于数据场与云模型的空间数据挖掘和知识发现[D]. 武汉:武汉大学, 2002.
	WANG S L . Data field and cloud model based spatial data mining and knowledge discovery[D]. Wuhan:Wuhan University, 2002.
[21]	李德仁, 王树良, 李德毅 . 空间数据挖掘理论与应用(第二版)[M]. 北京: 科学出版社, 2013.
	LI D R , WANG S L , LI D Y . Spatial data mining theories and applications[M]. Beijing: Science Press, 2013.

Metrics

Recommended 0

No Suggested Reading articles found!

Opportunities and challenges of geo-spatial information science from the perspective of big data

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

References 21

Related Articles 15

Metrics

Recommended 0

[1]	Yong SHI, Gang KOU, Biao LI. Analysis and research on the strategy and problems of “Channel Computing Resources from the East to the West” [J]. Big Data Research, 2023, 9(5): 3-8.
[2]	Biao LI, Shaokun LI, Gang KOU, Xingtong CHEN, Xunfang ZHUO. Sichuan’s strategic positioning and strategy research under the "Channel Computing Resources from the East to the West" [J]. Big Data Research, 2023, 9(5): 20-31.
[3]	Haihong QIAN, Maoyi WANG, Yun XIONG. Digital transformation in higher education:a systematic review [J]. Big Data Research, 2023, 9(3): 56-70.
[4]	Hong MEI, Xiaoyong DU, Hai JIN, Xueqi CHENG, Yunpeng CHAI, Xuanhua SHI, Xiaolong JIN, Yasha WANG, Chi LIU. Big data technologies forward-looking [J]. Big Data Research, 2023, 9(1): 1-20.
[5]	Yang SHEN, Menglong YU. Metaverse and big data: data insight and value connection in spatio-temporal intelligence [J]. Big Data Research, 2023, 9(1): 103-110.
[6]	Tongzheheng ZHENG, Bin LI, Minxuan FENG, Bolin CHANG, Dongbo WANG. Explore the structuration of historical books:the construction and quantitative analysis of digital humanities database of the Biographies of the Shiji [J]. Big Data Research, 2022, 8(6): 40-55.
[7]	Jing CHEN. Humanities big data and its application in the field of digital humanities [J]. Big Data Research, 2022, 8(6): 3-14.
[8]	Yuchu LUO, Hao WU, Yuhan GUO, Shaocong TAN, Can LIU, Ruike JIANG, Xiaoru YUAN. Visualization in digital humanities [J]. Big Data Research, 2022, 8(6): 74-93.
[9]	Wenlong LI, Yuan YUAN, Xiaopeng AN. Modus operandi of big data governance: some preliminary observations [J]. Big Data Research, 2022, 8(4): 34-45.
[10]	Qifeng TANG, Zhiqing SHAO, Yazhen YE. Authenticating and licensing architecture of data rights in data trade [J]. Big Data Research, 2022, 8(3): 40-53.
[11]	Chenhuizi WANG, Wei CAI. Digital economics in metaverse: state-of-the-art, characteristics, and vision [J]. Big Data Research, 2022, 8(3): 140-150.
[12]	Mei YANG, Wei LI, Siyuan QIAO, Wei LIU. Research on calculation method of China’s big data industry output value [J]. Big Data Research, 2022, 8(3): 151-160.
[13]	Xiaolan QIU, Yuxin HU, Songtao SHANGGUAN, Kun FU. Remote sensing satellite big data high-recision integration processing technology [J]. Big Data Research, 2022, 8(2): 15-27.
[14]	Weiquan LIU, Cheng WANG, Yu ZANG, Qian HU, Shangshu YU, Baiqi LAI. A survey on information extraction technology based on remote sensing big data [J]. Big Data Research, 2022, 8(2): 28-57.
[15]	Jianqiang LIU, Xiaomin YE, Youguo LAN. Remote sensing big data from Chinese ocean satellites and its application service [J]. Big Data Research, 2022, 8(2): 75-88.