Geometric Issues in Spatial Indexing

dc.contributor.advisorSamet, Hananen_US
dc.contributor.authorAlborzi, Houmanen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2007-02-01T20:20:18Z
dc.date.available2007-02-01T20:20:18Z
dc.date.issued2006-08-22en_US
dc.description.abstractWe address a number of geometric issues in spatial indexes. One area of interest is spherical data. Two main examples are the locations of stars in the sky and geodesic data. The first part of this dissertation addresses some of the challenges in handling spherical data with a spatial database. We show that a practical approach for integrating spherical data in a conventional spatial database is to use a suitable mapping from the unit sphere to a rectangle. This allows us to easily use conventional two-dimensional spatial data structures on spherical data. We further describe algorithms for handling spherical data. In the second part of the dissertation, we introduce the areal projection, a novel projection which is computationally efficient and has low distortion. We show that the areal projection can be utilized for developing an efficient method for low distortion quantization of unit normal vectors. This is helpful for compact storage of spherical data and has applications in computer graphics. We introduce the QuickArealHex algorithm, a fast algorithm for quantization of surface normal vectors with very low distortion. The third part of the dissertation deals with a CPU time analysis of TGS, an R-tree bulkloading algorithm. And finally, the fourth part of the dissertation analyzes the BV-tree, a data structure for storing multi-dimensional data on secondary storage. Contrary to the popular belief, we show that the BV-tree is only applicable to binary space partitioning of the underlying data space.en_US
dc.format.extent5187819 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/4057
dc.language.isoen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pquncontrolledSpherical Dataen_US
dc.subject.pquncontrolledQuantizationen_US
dc.subject.pquncontrolledSpatial Data Structuresen_US
dc.subject.pquncontrolledBulkloadingen_US
dc.subject.pquncontrolledBV-treeen_US
dc.titleGeometric Issues in Spatial Indexingen_US
dc.typeDissertationen_US

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