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Erschienen in:
Changing Paradigm in Map Production and Geoinformation Management—An Introduction Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

14. Datacubes: Towards Space/Time Analysis-Ready Data

verfasst von : Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu

Erschienen in: Service-Oriented Mapping

Verlag: Springer International Publishing

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Abstract

Datacubes form an emerging paradigm in the quest for providing EO data ready for spatial and temporal analysis; this concept, which generalizes the concept of seamless maps from 2-D to n-D, is based on preprocessing incoming data so as to integrate all data form one sensor into one logical array, say 3-D x/y/t for image timeseries or 4-D x/y/z/t for weather forecasts. This enables spatial analysis (both horizontally and vertically) and multi-temporal analysis simultaneously. Adequate service interfaces enable “shipping code to the data” to avoid excessive data transport. In standardization, datacubes belong to the category of coverages as established by ISO and OGC. In this contribution we present the OGC datacube data and service model, the Coverage Implementation Schema (CIS) and the Web Coverage Service (WCS) with its datacube analytics language, Web Coverage Processing Service (WCPS) and put them in context with further related standards is provided. Finally, we discuss architectural details of datacube services by way of operational tool examples.

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Vorheriges Kapitel Handling Continuous Streams for Meteorological Mapping
Nächstes Kapitel How Standards Help the Geospatial Industry Keep Pace with Advancing Technology
Fußnoten
1
We put the word concrete into quotes as this is not a normative term; however, in the sequel it will become obvious how this notion is complementary to the (normatively used) term abstract.
 
2
This naming as ISO 19123-2 paves the way for the new version of ISO 19123 (currently under work) to become 19123-1 so that the numbering reflects the companion nature of both 19123-x specifications.
 
3
This is similar to PostGIS Raster and Teradata ASTER where users need to reassemble tiles explicitly in their queries.
 
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Metadaten
Titel
Datacubes: Towards Space/Time Analysis-Ready Data
verfasst von
Peter Baumann
Dimitar Misev
Vlad Merticariu
Bang Pham Huu
Copyright-Jahr
2019
Buch
Service-Oriented Mapping

Print ISBN: 978-3-319-72433-1

Electronic ISBN: 978-3-319-72434-8

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-72434-8_14