Published June 30, 2021 | Version v1
Publication Open

APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA

  • 1. University of Chinese Academy of Sciences
  • 2. Institute of Information Engineering
  • 3. Chinese Academy of Sciences
  • 4. National Administration of Surveying, Mapping and Geoinformation of China

Description

Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.

⚠️ This is an automatic machine translation with an accuracy of 90-95%

Translated Description (Arabic)

مع التطبيق الواسع للبيانات الضخمة والذكاء الاصطناعي وإنترنت الأشياء في تكنولوجيا المعلومات الجغرافية والصناعة، تنشأ البيانات الجغرافية المكانية الضخمة في اللحظة التاريخية. بالإضافة إلى الخصائص التقليدية "5V" للبيانات الضخمة، وهي الحجم والسرعة والتنوع والصدق والقيمة، فإن البيانات الضخمة الجغرافية المكانية لها أيضًا خصائص "سمة الموقع". في الوقت الحاضر، تتركز دراسة البيانات الضخمة الجغرافية المكانية بشكل أساسي في: استخراج المعرفة واكتشاف البيانات الجغرافية المكانية، واستخراج البيانات الضخمة المكانية والزمانية، وتأثير البيانات الضخمة الجغرافية المكانية على التصور، والإدراك الاجتماعي والمدينة الذكية، وخدمات البيانات الضخمة الجغرافية المكانية لدعم صنع القرار الحكومي أربعة جوانب. استنادًا إلى دلالة البيانات الجغرافية المكانية الضخمة وتوسيعها، تحدد هذه الورقة بشكل شامل البيانات الجغرافية المكانية الضخمة بشكل شامل. يتم تقديم تطبيق البيانات الجغرافية المكانية الضخمة في تصور الموقع، والخدمة الشاملة للمعلومات الجغرافية المواضيعية الصناعية، وعلوم البيانات الجغرافية وخدمة المعرفة بالتفصيل. علاوة على ذلك، يتم تفصيل التقنيات الرئيسية ومؤشرات التصميم للمنصة الوطنية للبيانات الجغرافية المكانية الضخمة من منظور البنية التحتية والمتطلبات الوظيفية والمتطلبات غير الوظيفية، ويتم توضيح تصميم وتطبيق المنصة الوطنية للبيانات الجغرافية المكانية الضخمة للخدمة العامة. تتم مناقشة تحديات وفرص البيانات الجغرافية المكانية الضخمة من منظور مشاركة الموارد المفتوحة ودعم قرارات الإدارة وأمن البيانات. أخيرًا، يتم تلخيص وتوقع اتجاه واتجاه تطوير البيانات الجغرافية المكانية الضخمة، وذلك لبناء منصة بيانات جغرافية مكانية كبيرة عالية الجودة ولعب دور أكبر في خدمات التطبيقات العامة الاجتماعية واتخاذ القرارات الإدارية.

Translated Description (English)

Abstract With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.

Translated Description (French)

Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. En plus des caractéristiques traditionnelles "5V" des grandes données, qui sont le volume, la vélocité, la variété, la veracité et la valeur, les grandes données géospatiales ont également les caractéristiques des "attributs de localisation". At present, the study of geospatial big data are mainly concentrated in : knowledge mining and discovery of geospatial data, spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. L'application du big data géospatial dans la visualisation de l'emplacement, du service complet d'informations géographiques industrielles et de la science des données géographiques et du service de connaissances est présentée en détail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. Les défis et les opportunités des grandes données géospatiales sont discutés dans les perspectives du partage des ressources ouvertes, de la gestion du soutien aux décisions et de la sécurité des données. Finalement, la tendance au développement et la direction des big data géospatiales sont résumées et prospectées, de sorte que la construction d'une plate-forme de big data géospatiale de haute qualité et le jeu d'un grand rôle dans les services d'application publique sociale et la prise de décision de gestion administrative.

Translated Description (Spanish)

Resumen. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support fourspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.

Files

isprs-archives-XLIII-B4-2021-293-2021.pdf.pdf

Files (903.6 kB)

⚠️ Please wait a few minutes before your translated files are ready ⚠️ Note: Some files might be protected thus translations might not work.
Name Size Download all
md5:4eb087f8d51b50e816770901440304b2
903.6 kB
Preview Download

Additional details

Additional titles

Translated title (Arabic)
تصميم تطبيقات ومنصات البيانات الجغرافية المكانية الضخمة
Translated title (English)
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA
Translated title (French)
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA
Translated title (Spanish)
DISEÑO DE APLICACIONES Y PLATAFORMAS DE BIG DATA GEOESPACIAL

Identifiers

Other
https://openalex.org/W3182909146
DOI
10.5194/isprs-archives-xliii-b4-2021-293-2021

GreSIS Basics Section

Is Global South Knowledge
Yes
Country
China

References

  • https://openalex.org/W1530612431
  • https://openalex.org/W1850843018
  • https://openalex.org/W2010431739
  • https://openalex.org/W2391403999
  • https://openalex.org/W2604012667
  • https://openalex.org/W2727038893
  • https://openalex.org/W2734343715
  • https://openalex.org/W2770909156
  • https://openalex.org/W2792350000
  • https://openalex.org/W2897859707
  • https://openalex.org/W2963097326
  • https://openalex.org/W2963394089
  • https://openalex.org/W2981435834
  • https://openalex.org/W3100042321
  • https://openalex.org/W3102476447
  • https://openalex.org/W3158630155