2008Unpublished venueRequires access

Revisiting 2DR-tree insertion

Marc Moreau, Wendy Osborn

Open publisher page 2 citations

Abstract

We take another look at the 2DR-tree. In particular, we revisit its node structure, validity rules and the insertion strategy. The 2DR-tree uses 2D nodes so that the relationships between all objects can be maintained. The existing structure has many advantages. However, two limitations include a high tree height and a low space utilization of its nodes. We propose changes to the 2DR-tree structure, validity rules and insertion strategy. Preliminary results show significant improvements in height and space utilization over the existing 2DR-tree.

About this research paper

What this paper is about

We take another look at the 2DR-tree. In particular, we revisit its node structure, validity rules and the insertion strategy. The 2DR-tree uses 2D nodes so that the relationships between all objects can be maintained. The existing structure has many advantages. However, two limitations include a high tree height and a low space utilization of its nodes. We propose changes to the 2DR-tree structure, validity rules and insertion strategy. Preliminary results show significant improvements in height and space utilization over the existing 2DR-tree.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We take another look at the 2DR-tree. In particular, we revisit its node structure, validity rules and the insertion strategy. The 2DR-tree uses 2D nodes so that the relationships between all objects can be maintained. The existing structure has many advantages. However, two limitations include a high tree height and a low space utilization of its nodes. We propose changes to the 2DR-tree structure, validity rules and insertion strategy. Preliminary results show significant improvements in height and space utilization over the existing 2DR-tree.

Key concepts: Tree (set theory), Tree structure, Computer science, Node (physics), Space (punctuation), Data structure, Theoretical computer science, Algorithm

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