Conceptual design and implementation of spatial data warehouses integrating regular grids of points

Spatial online analytical processing (OLAP) and spatial data warehouse (SDW) systems are geo-business intelligence technologies that enable the analysis of huge volumes of geographic data. In the last decade, the conceptual design and implementation of SDWs that integrate spatial data, which are rep...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of digital earth Vol. 10; no. 9; pp. 901 - 922
Main Authors Bimonte, Sandro, Zaamoune, Mehdi, Beaune, Philippe
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 02.09.2017
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Conceptual design
Data
Data processing
Data warehouses
Design
Environmental Sciences
Geoinformatics
Information management
Information processing
infrastructure
Integration
Intelligence
Intelligence (information)
Internet
Online analytical processing
Software reviews
Software upgrading
Spatial data
spatial OLAP geospatial data integration
data warehouse
ALGEBRE
INFORMATIQUE
computer science
ENTREPOT DE DONNEES
geography
GEOGRAPHIE
Online AccessGet full text

Cover

More Information
Summary:Spatial online analytical processing (OLAP) and spatial data warehouse (SDW) systems are geo-business intelligence technologies that enable the analysis of huge volumes of geographic data. In the last decade, the conceptual design and implementation of SDWs that integrate spatial data, which are represented using the vector model, have been extensively investigated. However, the integration of field data (a continuous representation of spatial data) in SDWs is a recent unresolved research issue. Enhancing SDWs with field data improves the spatio-multidimensional analysis capabilities with continuity and multiresolutions. Motivated by the need for a conceptual design tool and relational online analytical processing (ROLAP) implementation, we propose a UML profile for SDWs that integrates a regular grid of points and supports continuity and multiresolutions. We also propose an efficient implementation of a ROLAP architecture.
ISSN:1753-8947
1753-8955
DOI:10.1080/17538947.2016.1266040