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A theoretical approach to the use of cyberinfrastructure in geographical analysis.
- Source :
-
International Journal of Geographical Information Science . Feb2009, Vol. 23 Issue 2, p169-193. 25p. 8 Diagrams, 6 Charts, 4 Graphs. - Publication Year :
- 2009
-
Abstract
- This paper presents a theoretical approach that has been developed to capture the computational intensity and computing resource requirements of geographical data and analysis methods. These requirements are then transformed into a common framework, a grid-based representation of a spatial computational domain, which supports the efficient use of emerging cyberinfrastructure environments. Two key types of transformational functions (data-centric and operation-centric) are identified and their relationships are explained. The application of the approach is illustrated using two geographical analysis methods: inverse distance weighted interpolation and the [image omitted] spatial statistic. We describe the underpinnings of these two methods, present their conventional sequential algorithms, and then address their latent parallelism based on a spatial computational domain representation. Through the application of this theoretical approach, the development of domain decomposition methods is decoupled from specific high-performance computer architectures and task scheduling implementations, which makes the design of generic parallel processing solutions feasible for geographical analyses. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13658816
- Volume :
- 23
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Geographical Information Science
- Publication Type :
- Academic Journal
- Accession number :
- 36798213
- Full Text :
- https://doi.org/10.1080/13658810801918509