A Query Language for Analytics on Spatio-Temporally Varying Objects

  • This report defines a high-level, abstract query language targeted at analytics on multidi-mensional spatio-temporally varying objects. Specifically, the language focuses on ex-traction, processing, and analysis of datacubes representing – among others – spatio-temporal sensor, image, simulation, or statistics data. The conceptual data model is given by coverages as per OGC and ISO standards, in particular grid coverages as defined in OGC Coverage Implementation Schema (CIS) version 1.1. Except for the space/time and coverage specific elements the language employs the same expression evaluation semantics as the ISO SQL/MDA (Multi-Dimensional Arrays) ex-tension developed by our team in parallel. A mapping of WCPS to the rasdaman array query language, the blueprint for SQL/MDA, has been implemented and evaluated suc-cessfully. The document is formatted with the purpose of submitting it as a standards proposal to OGC under the name Web Coverage Processing Service (WCPS).

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Author:Peter Baumann
Persistent Identifier (URN):urn:nbn:de:gbv:579-opus-1009876
Series (No.):Jacobs University Technical Reports (41)
Document Type:Technical Report
Date of First Publication:2021/06/09
Academic Department:Computer Science & Electrical Engineering

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