On the issues of ultra-fast processing voluminous spatio-temporal data

Maiorov, A.A.

doi:10.22389/0016-7126-2020-966-12-50-56

G&C

2021

DOI: 10.22389/0016-7126-2020-966-12-50-56

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On the issues of ultra-fast processing voluminous spatio-temporal data

A.A. Maiorov

Abstract: The author examines the current state of development and processing large spatio-temporal data. Parallel computing is seen as a new technology for handling big volumes of it. The use of ultra-high-speed processing as an analysis and decision-making tool in the earth sciences is due to three reasons

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2023

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Big spatial data modeling using data cube based on discrete global grid system

Titov

Kargashin

2023

G&C

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The authors describe an approach to modeling large volumes of heterogeneous spatial data in the form of a hypercube based on discrete global grid systems. Bibliometric analysis and literature review of academic publications, mapping and explanation of the scientific landscape on the subject of big data and data cubes in Earth sciences are carried out. The mentioned phenomenon is interpreted in Earth sciences in the view of the spatial data life cycle. The results show that its transformative impact on cartography and geoinformatics is mutual, and the resulting methodological problem is their heterogeneity, not volume. To model them, it is proposed to use a data cube in which the spatial dimension is represented using discrete global grid systems with advantages over raster and vector models in application to that phenomenon. The content of the data cube is analysis-ready information.

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Big spatial data modeling using data cube based on discrete global grid system

Titov

Kargashin

2023

G&C

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On the issues of ultra-fast processing voluminous spatio-temporal data

Cited by 1 publication

References 11 publications

Big spatial data modeling using data cube based on discrete global grid system

Big spatial data modeling using data cube based on discrete global grid system

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