Skip to main content
U.S. flag

An official website of the United States government

Distributed Processing of Projections of Large Datasets: A Preliminary Study

January 1, 2004

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 Year 2004
Title Distributed Processing of Projections of Large Datasets: A Preliminary Study
DOI 10.3133/ofr2003117
Authors Brian G. Maddox
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Open-File Report
Series Number 2003-117
Index ID ofr2003117
Record Source USGS Publications Warehouse
USGS Organization Mid-Continent Mapping Center