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Distributed Processing of Projections of Large Datasets: A Preliminary Study

Open-File Report 2003-117

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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.

Additional Publication Details

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
Edition:
-
Year Published:
2004
Language:
ENGLISH
Publisher:
U.S. Geological Survey
Contributing office(s):
Mid-Continent Mapping Center
Description:
19 p.
Number of Pages:
19
Online Only (Y/N):
Y