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dc.contributor.authorArge, Lars
dc.contributor.authorVengroff, Darren Erik
dc.contributor.authorVitter, Jeffrey Scott
dc.date.accessioned2011-03-21T16:49:42Z
dc.date.available2011-03-21T16:49:42Z
dc.date.issued1996-09
dc.identifier.citationL. Arge, D. E. Vengroff, and J. S. Vitter. “External-Memory Algorithms for Processing Line Segments in Geographic Information Systems,” Algorithmica, 47(1), January 2007, 1–25. An extended abstract appears in Proceedings of the 3rd Annual European Symposium on Algorithms (ESA ’95), Corfu, Greece, September 1995, published in Lecture Notes in Computer Science, 979, Springer, Berlin, Germany, 295–310. http://dx.doi.org/10.1007/s00453-006-1208-z
dc.identifier.urihttp://hdl.handle.net/1808/7200
dc.descriptionThe original publication is available at www.springerlink.com
dc.description.abstractIn the design of algorithms for large-scale applications it is essential to consider the problem of minimizing I/O communication. Geographical information systems (GIS) are good examples of such large-scale applications as they frequently handle huge amounts of spatial data. In this paper we develop e cient new external-memory algorithms for a number of important problems involving line segments in the plane, including trapezoid decomposition, batched planar point location, triangulation, red-blue line segment intersection reporting, and general line segment intersection reporting. In GIS systems, the rst three problems are useful for rendering and modeling, and the latter two are frequently used for overlaying maps and extracting information from them.
dc.language.isoen_US
dc.publisherSpringer Verlag
dc.titleExternal-Memory Algorithms for Processing Line Segments in Geographic Information Systems
dc.typeArticle
kusw.kuauthorVitter, Jeffrey Scott
kusw.oastatusfullparticipation
dc.identifier.doi10.1007/s00453-006-1208-z
kusw.oaversionScholarly/refereed, author accepted manuscript
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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