Distributed Processing of Projections of Large Datasets: A Preliminary Study
Open-File Report
2003-117
By: Brian G. Maddox
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Abstract
Modern information needs have resulted in very large amounts of data being used in geographic information systems. Problems arise when trying to project these data in a reasonable amount of time and accuracy, however. Current single-threaded methods can suffer from two problems: fast projection with poor accuracy, or accurate projection with long processing time. A possible solution may be to combine accurate interpolation methods and distributed processing algorithms to quickly and accurately convert digital geospatial data between coordinate systems. Modern technology has made it possible to construct systems, such as Beowulf clusters, for a low cost and provide access to supercomputer-class technology. Combining these techniques may result in the ability to use large amounts of geographic data in time-critical situations.
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Distributed Processing of Projections of Large Datasets: A Preliminary Study |
| Series title | Open-File Report |
| Series number | 2003-117 |
| DOI | 10.3133/ofr2003117 |
| Edition | - |
| Year Published | 2004 |
| Language | ENGLISH |
| Publisher | U.S. Geological Survey |
| Contributing office(s) | Mid-Continent Mapping Center |
| Description | 19 p. |
| Online Only (Y/N) | Y |
| Google Analytic Metrics | Metrics page |