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Multidimensional Structures for Field Based Data. A Review of Models

Authors:
Taher Omran Ahmed

Keywords: Data Warehousing; Field Based Data; Models; Multidimensional; SOLAP; Spatial Data.

Abstract:
The growth in size of geographical data collected by different types of sensors and used in diverse applications have led to the adoption of spatial data warehouses (SDW) and spatial OLAP (SOLAP). Spatial data are represented as either discrete (objects) or continuous (raster), also called field-based data. The latter representation deals with data about natural phenomena that exist continuously in space and time. Continuity was not taken into account during the early days of SDW and SOLAP, however, during the last decade there were attempts to include this concept within SOLAP. In this paper, we present some of the concepts, issues and discuss the models proposed to represent spatiotemporal continuity in a decisional context and attempt to foresee where the research in this area is heading.

Pages: 41 to 48

Copyright: Copyright (c) IARIA, 2016

Publication date: June 26, 2016

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-486-2

Location: Lisbon, Portugal

Dates: from June 26, 2016 to June 30, 2016