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

Deren LI; Guo ZHANG; Yonghua JIANG; Xin SHEN; Weiling LIU

doi:10.11959/j.issn.2096-0271.2022012

您当前的位置：

首页 >

文章列表页 >

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

TOPOC: AEROSPACE BIG DATA | 更新时间：2024-06-03

- Opportunities and challenges of geo-spatial information science from the perspective of big data
- Big data research Vol. 8, Issue 2, Pages: 3-14(2022)
- 作者机构：
  
  1. 武汉大学遥感信息工程学院，湖北武汉 430079
  2. 武汉大学测绘遥感信息工程国家重点实验室，湖北武汉 430079
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2022012
  CLC： TP79
- Online First：2022-03，
  
  Published：15 March 2022
- 稿件说明：
移动端阅览
Deren LI, Guo ZHANG, Yonghua JIANG, et al. Opportunities and challenges of geo-spatial information science from the perspective of big data[J]. Big data research, 2022, 8(2): 3-14.
DOI：

Deren LI, Guo ZHANG, Yonghua JIANG, et al. Opportunities and challenges of geo-spatial information science from the perspective of big data[J]. Big data research, 2022, 8(2): 3-14. DOI： 10.11959/j.issn.2096-0271.2022012.

摘要

大数据时代已经到来，并且已经深入人类生活的方方面面。作为地球科学与信息科学交叉融合催生出的地球空间信息学，大数据时代的来临在为其提供更丰富的数据保障的同时，也带来数据存储、管理、分析和挖掘方面的新挑战，甚至造成了某种程度上的“数据爆炸”。从大数据视角，梳理了当前地球空间信息学涉及的地理信息系统、智慧城市、遥感大数据和空间数据挖掘4个核心领域的瓶颈和挑战；指出在大数据时代，地球空间信息学可为地球科学研究提供更加精准、实时的空间信息框架和更加智能高效的信息处理手段，从而服务于智慧城市、智慧地球建设和人类社会的可持续发展。而且，大数据时代下，地球空间信息学的发展面临着软件和硬件水平的双重考验。

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.

关键词

Keywords

references

HOWE D , COSTANZO M , FEY P , et al . Big data:the future of biocuration [J ] . Nature , 2008 , 455 ( 7209 ): 47 - 50 .

REICHMAN O J , JONES M B , SCHILDHAUER M P . Challenges and opportunities of open data in ecology [J ] . Science , 2011 , 331 ( 6018 ): 703 - 705 .

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 .

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 .

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 .

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 .

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 .

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 .

GORE A . The digital earth:understanding our planet in the 21st century [J ] . Photogrammetric Engineering ＆ Remote Sensing , 1998 , 65 ( 5 ): 1 - 4 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

PEI J , TSENG V S , CAO L B , et al . Advances in knowledge discovery and data mining [M ] . Heidelberg : Springer , 2013 .

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 .

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 .

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 .

Views

681

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multisource heterogeneous big data processing architecture in smart city

Big data open platform and industrial ecology construction for smart city

Big data analysis and knowledge discovery for smart city development enhancement

Driving reforms of smart city by big data as the core

Data Mining in the Era of Big Data:From the Application Perspective

Related Author

Yan LIU

Hua WANG

Yeyang QIN

Xingjie ZHU

Aobing SUN

Tongkai JI

Cong CHEN

Guohui ZHANG

Related Institution

Data ＆ Information Services Center,Taikang Insurance Group Co.,Ltd.

Renmin University of China

Peking University

The Cloud Computing Center,Chinese Academy of Sciences

Cloud Science and Technology Limited Company,Dongguan

Postal code：100079
Tel：（010）53879208、53859533 Email：bdr@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：273162 Visits Today：68

⁰