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ThinkMind // International Journal On Advances in Software, volume 10, numbers 1 and 2, 2017 // View article soft_v10_n12_2017_3


A Framework for Spatial Analytics using Heterogeneous Data Sources

Authors:
Cláudio De Souza Baptista
Tiago Eduardo da Silva
Hugo Feitosa de Figueirêdo
José Mário Pereira Dantas
Brunna De Sousa Pereira Amorim

Keywords: Business Intelligence; GIS; Analytics; GeoBI; SOLAP

Abstract:
Several solutions for the integration of Business Intelligence (BI) and Geographic Information Systems (GIS) have been proposed in recent years aiming at improving the decision making process. The term Spatial Analytics has been coined to tools that perform analysis on spatial and conventional data organized according to the multidimensional approach. Nevertheless, no consensus has been reached regarding the best way to accomplish such integration, making it difficult to perform analysis on spatial cubes from heterogeneous multidimensional data sources. In this article, we investigated the state of the art on Spatial Analytics, and propose a framework that enables spatial analytics on cubes from heterogeneous multidimensional data servers. The proposed framework provides a visual query language for the spatial analysis. To validate the proposed framework, a practical example is conducted and applied to accountability processes of the Court of Accounts of the State of Acre, in Brazil. To perform such case study, the framework was extended to access cubes from Microsoft SQL Server Analysis Services (SSAS) and GeoMondrian.

Pages: 31 to 45

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: June 30, 2017

Published in: journal

ISSN: 1942-2628

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