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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Conceptual Geospatial Data Warehouse Model for Forest Information Management

A Conceptual Geospatial Data Warehouse Model for Forest Information Management
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Author(s): Robert Magai (Selkirk College Geospacial Research Center, Canada) and Wookey Lee (Sungkyul University, Korea)
Copyright: 2006
Pages: 5
Source title: Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch205
ISBN13: 9781616921286
EISBN13: 9781466665361

Abstract

An architectural framework is developed for a GeoSpatial Data Warehouse (GSDW) for which a conceptual model is designed that accommodates the following dimensions: spatial (map object), temporal (time), agent (contractor), management (e.g. planting) and tree species (specific species) of the GSDW information. According to the GSDW model, spatial queries such as spatial selection, spatial projection, and spatial join are defined and incorporated along with other database operators having interfaces via the model. This GSDW model was implemented using data from the Malcolm Knapp Research Forest of the University of British Columbia (UBC). Based on cost function estimates, preliminary experimental results show that our view materialization of the GSDW model performs highly as compared to re-computation and intermediate methods.

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