Quadtree
tree data structure in which each internal node has exactly four children
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are the two-dimensional analog of octrees and are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The data associated with a leaf cell varies by application, but the leaf cell represents a "unit of interesting spatial information".
The subdivided regions may be square or rectangular, or may have arbitrary shapes. Although similar subdivisions were used much earlier (for instance in the Whitney covering lemma of 1934), this data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree.
All forms of quadtrees share some common features:
They decompose space into adaptable cells.
Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits.
The tree directory follows the spatial decomposition of the quadtree.
Begin with the source’s own compact description: “Quadtree” is tree data structure in which each internal node has exactly four children. The dossier treats that line as a proposition to test through Quadtree, tree and data, not as a finished interpretation.
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Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Sep 15, 2026. The linked authority identifier is Q934791. None of the 0 selected statements returned an explicit reference. The first chronological checks are 1934 and 1974.
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This entry incorporates text from “Quadtree” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.