Efficient evaluation of radial queries using the target tree
by Michael Morse, Jignesh M. Patel, William I. Grosky
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 3, No. 1, 2007

Abstract: We propose a novel indexing structure, called the target tree, which is designed to answer a new type of spatial query, called the radial query. A radial query finds all objects in the spatial data set that intersect with line segments emanating from a single target point. Many biomedical applications use radial queries, including neurosurgical planning. A target tree uses a regular hierarchical decomposition of space using wedge shapes that emanate from the target point. We compare the target tree with the R*-tree and quadtree, and show that the target tree is significantly faster than these methods.

Online publication date: Tue, 26-Dec-2006

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