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Multidimensional Access Methods: Trees Have Grown Everywhere

机译:多维访问方法:树木无处不在

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This paper is a survey of work and issues on multidimensional search trees. We provide a classification of such methods, we describe the related algorithms, we present performance analysis efforts, and finally outline future research directions.rnMulti-dimensional search trees and Spatial Access Methods, in general, are designed to handle spatial objects, like points, line segments, polygons, polyhe-dra etc. The goal is to support spatial queries, such as nearest neighbors queries (find all cities within 10 miles from Washington D.C.), or range queries (find all the lakes on earth, within 30 and 40 degrees of latitude), and so on. The applications are numerous, including traditional database multi-attribute indexing, Geographic Information Systems and spatial database systems, and indexing multimedia databases by content.
机译:本文是对多维搜索树的工作和问题的调查。我们提供了这类方法的分类,介绍了相关算法,介绍了性能分析工作,最后概述了未来的研究方向。多维搜索树和空间访问方法通常用于处理空间对象,例如点,目标是支持空间查询,例如最近的邻居查询(查找距华盛顿特区10英里以内的所有城市)或范围查询(查找30和40内的地球上的所有湖泊)纬度),等等。应用程序很多,包括传统的数据库多属性索引,地理信息系统和空间数据库系统,以及按内容索引多媒体数据库。

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