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SOLAP Technology: Merging Business Intelligence With Geospatial Technology for Interactive Spatio-Temporal Exploration and Analysis of Data

Category: Data Management

Tags: data

Overview To support their analytical processes, today's organizations deploy data warehouses and client tools such as OLAP (On-Line Analytical Processing) to access, visualize, and analyze their integrated, aggregated and summarized data. Since a large part of these data have a spatial component, better client tools are required to take full advantage of the geometry of the spatial phenomena or objects being analyzed. With this regard, Spatial OLAP (SOLAP) technology offers promising possibilities. This paper first reviews the general concepts behind OLAP and SOLAP systems. This is followed by a discussion of how these SOLAP concepts support spatio-temporal exploration of data.

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Publisher
International Society for Photogrammetry and Remote Sensing
File Format
PDF
Date Published
Sep 19, 2008
Format
White Papers
Topics
Business Intelligence - Data Warehousing, Data Mining - Analysis

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