R-Trees 作者: Manolopoulos, Yannis; Nanopoulos, Alexandros; Papadopoulos, Apostolos N. 出版年: 2013-7 页数: 213 定价: $ 202.27 ISBN: 9781849969864 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介 ··· Space support in databases poses new challenges in eve...
R-trees have a simplicity of structure & together with their resemblance to the B-tree, allow developers to incorporate them easily into existing database management systems for the support of spatial query processing. This book provides an extensive survey of the R-tree evolution, studying the ...
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R-Trees: A Dynamic Index Structure for Spatial Searching extensible index structure, termed SP-GiST, is presented that supports this class of data structure, mainly the class of space partitioning unbalanced trees... M Hadjieleftheriou,Y Manolopoulos,Y Theodoridis,... - Encyclopedia of GIS 被...
R-tree Definition One of the most influential access methods in the area of Spatial Data Management is the R-tree structure proposed by Guttman in 1984 [8]. It is a hierarchical data structure based on B+-trees, used for the dynamic organization of a set ofd-dimensional geometric objects....
Manolopoulos Y, Nanopoulos A, Papadopoulos AN, Theodoridis Y (2005) R-trees: theory and applications. Springer, London Google Scholar Sellis T, Roussopoulos N, Faloutsos C (1987) The R+-tree: a dynamic index for multi-dimensional objects. In: Proceedings of the international conference on...
R语言 trees 位于datasets 包(package)。 说明 该数据集提供了 31 棵被砍伐的黑樱桃树的直径、高度和体积的测量值。请注意,数据中的直径(以英寸为单位)被错误地标记为周长。它是在距地面 4 英尺 6 英寸处测量的。 用法 trees 格式 包含3 个变量的 31 个观测值的 DataFrame 。 [,1] Girth numeric 树...
(1984 R树) r-trees: a dynamic index structure for spatial searching,程序员大本营,技术文章内容聚合第一站。
R-Trees for Astronomical Data Indexing 来自 ResearchGate 喜欢 0 阅读量: 11 作者: A Baruffolo 摘要: The use of multidimensional spatial access methods (SAMs) has been sometimes advocated in the past for astronomical database applications, in order to speed up the retrieval of data. However, ...
• R-trees use heuristics to minimize the areas of all enclosing rectangles of its nodes. • Why? • Why not ... –minimize overlap of rectangles? –minimize margin (sum of length on each dimension) of each rectangle (i.e. make it as square as possible)? –optimize storage ...