APPLICATION AND PLATFORM DESIGN OF SPATIOTEMPORAL DATA OPENING AND SHARING

Spatiotemporal data is data that has both temporal attributes and spatial distribution. The core of the opening and sharing of spatiotemporal data is to exchange, share and collaborate with various data, including spatiotemporal data, based on a unified spatiotemporal benchmark. The research methods...

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Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLIII-B4-2022; pp. 369 - 376
Main Authors: Li, H., Huang, W., Zheng, X., Ding, L.
Format: Journal Article Conference Proceeding
Language:English
Published: Gottingen Copernicus GmbH 01.06.2022
Copernicus Publications
Subjects:
21st century
Archives & records
Benchmarks
Big Data
Cloud computing
Computer centers
Data analysis
Data mining
Data models
Data science
Decision making
Geographic information systems
Information science
Information services
Information sharing
Internet of Things
Photogrammetry
Remote sensing
Research methodology
Research methods
Semantics
Smart cities
Spatial data
Spatial distribution
Spatiotemporal data
ISSN:2194-9034, 1682-1750, 2194-9034
Online Access:Get full text
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Summary:Spatiotemporal data is data that has both temporal attributes and spatial distribution. The core of the opening and sharing of spatiotemporal data is to exchange, share and collaborate with various data, including spatiotemporal data, based on a unified spatiotemporal benchmark. The research methods of domestic and foreign scholars on the opening and sharing of spatiotemporal data mainly focus on spatiotemporal data model, database research, big data mining analysis and visual expression. This paper introduces the connotation and current situation of open sharing of spatiotemporal data. The typical applications of spatiotemporal data open sharing are listed and summarized. This paper proposes to build an open sharing platform for spatiotemporal data, and gives the basic requirements of four parts: spatiotemporal benchmark, spatiotemporal modeling big data, cloud computing-based spatiotemporal big data system and supporting environment. Taking the National Platform for Common Geospatial Information Services (TIANDITU) as an example, the main indicators of the spatiotemporal data open sharing platform are given. Finally, the article concludes and points out the opportunities and challenges faced by the open sharing of spatiotemporal data. In order to play a greater role in social public application services and administrative decision-making.
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SourceType-Conference Papers & Proceedings-1
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ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLIII-B4-2022-369-2022