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Spatial data is data related to space. In various application fields like GIS, multimedia information systems, etc., there is a need to store and manage these data. Some datastructures used for the spatial access methods are R tree and its extensions where objects could be approximated by their minimum bounding rectangles and Quad tree based structures where space is subdivided according to certain rules. Also another structure KD Tree is used for organizing points in a k dimensional space. This paper makes review on some of these Hiearchical datastructures used for handling point data. It focuses on PR Quad Tree and KD Tree. The insertion procedure of these structures is reviewed and analyzed and also a comparison between them is drawn.
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