Files and links (1)
Accepted manuscriptFree to read and download, Open Access
Accepted manuscript
On the Use of Parallel Processing for Interactive Analysis of Large GIS Datasets: The Effect of Control Point Distribution on Interpolation Performance
1997
DOI: 10.17077/hbi4-la8x
Abstract
The computational intensity of analytical operations provided in GIS software can introduce disruptive computationally-induced latencies into decision-making processes. Though parallel processing can be used to improve the performance of GIS operations, the geographical configuration of input datasets can degrade performance when particular data decomposition strategies are used. We outline this problem and demonstrate its effects in a set of computational experiments. These experiments use a spatial interpolation algorithm to process datasets that contain three levels of control point density that are arranged in different geographical orientations. Finally, we suggest strategies to overcome the problem that are based on a preliminary assessment of input datasets.
Details
- Title: Subtitle
- On the Use of Parallel Processing for Interactive Analysis of Large GIS Datasets: The Effect of Control Point Distribution on Interpolation Performance
- Creators
- Richard J. Marciano - San Diego Supercomputer CenterMarc P. Armstrong - University of Iowa
- Resource Type
- Accepted manuscript
- DOI
- 10.17077/hbi4-la8x
- Number of pages
- 17 pages
- Copyright
- Copyright © 1997 Richard J. Marciano and Marc P. Armstrong
- Grant note
- Funder: National Science Foundation, Grant ID: NSF SES-88-10917
- Comment
- Paper accepted for publication in a special issue of a journal, but the journal decided not to publish the special issue.
- Language
- English
- Date copyrighted
- 1997
- Date posted
- 05/27/2019
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9983557641702771
Metrics
77 File views/ downloads
37 Record Views