External-Memory Algorithms for Processing Line Segments in Geographic Information Systems

Lars Arge, Darren E. Vengroff, Jeffery S. Vitter


In 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 efficient 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 first three problems are useful for rendering and modeling, and the latter two are frequently used for overlaying maps and extracting information
from them.

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DOI: http://dx.doi.org/10.7146/brics.v3i12.19975
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ISSN: 0909-0878 

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