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The K-neighbor query algorithm is an important class of search algorithm in the spatial database, this paper will adopt the K-means algorithm to carry on sorting to the smallest enclosing rectangle in accordance with orientation relationship based on the measurement of distance and pruning strategies of MBR in the traditional K-nearest neighbor query, it can carry on the K-neighbor queries after sorting,...
K neighbor search algorithm has a very wide application in complex surface of a large amount of data, aiming at the broad and irregular nature of mass data, this paper will use QR-tree index structure, in accordance with full octree encoding method to code each node, in accordance with the location relationship to establish grid, and nodes intersecting with horizontal and vertical lines are also involved...
Adjacent searching is the basis of spatial operations, and has become one of the key problems in the discrete global grid query & calculations. But the existing adjacent searching algorithm of Degenerate Quadtree Grid (DQG) on spherical facet can only find neighbor cells around a target cell rather than the cells along a given direction. In order to overcome this deficiency, a directional searching...
In traditional reverse nearest-neighbor (RNN) search, the goal is to find the set of interest objects taking the query object as the nearest neighbor given that the interest objects and the query object have the same type. However, when the interest objects and the query object are of different types, this problem is called bichromatic reverse nearest neighbor (BRNN) search. The BRNN query has an...
Spatial-Keyword (SK) queries, which are queries on spatial objects associated with textual attributes, have received significant attention in geographic information system (GIS) recently. Many hybrid index structures have been proposed to answer SK queries. To the best of our knowledge, however, few of them are adequate to handle approximate keyword matching in space database efficiently. This means...
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