Semi-Automatic Design of Spatial Data Cubes from Simulation Model Results

Abstract

In this paper the authors present a semi-automatic method for designing and generating spatial data cubes in order to visualize and analyze the results of simulation models. In the authors approach users choose their fact of analysis, then the system derives automatically a set of possible measures, dimensions of analysis, and generates the corresponding spatial data cubes. The analysis and visualization of the spatial data cubes are carried out using appropriate SOLAP tools. They also present the SimOLAP system, developed to validate their approach.

Guaranteeing the quality of multidimensional analysis in data warehouses of simulation results: Application to pesticide transfer data produced by the MACRO model

“…In Mahboubi et al (2011) and Mahboubi et al (2013), an implementation for this type of data warehouse is proposed. Starting from the simulation model data structure, the tool proposed in these papers derives the possible multidimensional schemas and provides the possibility of implementing them in a relational OLAP architecture.…”

Multidimensional modeling and analysis of large and complex watercourse data: an OLAP-based solution

“…In Boulil et al (2013b), we developed an OLAP system to store and to analyze pesticide transfer data generated by a simulation model called MACRO, to validate the model and compare its different versions. The use of DW and OLAP technologies for the analysis of environmental simulation model results has particularly been investigated in Mahboubi et al (2013Mahboubi et al ( , 2010.…”