A Data Cube Metamodel for Geographic Analysis Involving Heterogeneous Dimensions

Due to their multiple sources and structures, big spatial data require adapted tools to be efficiently collected, summarized and analyzed. For this purpose, data are archived in data warehouses and explored by spatial online analytical processing (SOLAP) through dynamic maps, charts and tables. Data...

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Bibliographic Details
Main Authors: Jean-Paul Kasprzyk, Guénaël Devillet
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/2/87