Multidimensional access methods

@article{Gaede1998MultidimensionalAM,
  title={Multidimensional access methods},
  author={Volker Gaede and Oliver G{\"u}nther},
  journal={ACM Comput. Surv.},
  year={1998},
  volume={30},
  pages={170-231}
}
Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects that overlap a given search region). More than ten years of spatial database research have resulted in a great variety of multidimensional access methods to support such operations. We give an overview… Expand
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References

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TLDR
This paper shows that the availability of such information allows us to decide at an early stage that numerous objects fullll the spatial predicate are needed for the z-ordering method, which leads to signiicant performance improvements for the spatial selection as well as for theatial intersection join. Expand
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TLDR
The Fieldtree is described, a data structure that provides one of such access methods for spatial databases and has been designed for GIS and similar applications, where range queries are predominant and spatial nesting and overlaping of objects are common. Expand
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TLDR
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TLDR
The optimal use of redundancy for z- order is explored through analysis of the z-order search algorithm and through experiments. Expand
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A qualitative comparative study is performed of the performance of three popular spatial indexing methods - the R-tree, R+-tree, and the PMR quadtree-in the context of processing spatial queries in… Expand
Performance Comparison of Point and Spatial Access Methods
TLDR
A performance comparison of multidimensional point access methods under arbitrary data distributions and under various types of queries and was surprised to see one method to be the clear winner which was the BUDDY hash tree, which exhibits an at least 20 % better average performance than its competitors and is robust under ugly data and queries. Expand
Techniques for Design and Implementation of Efficient Spatial Access Methods
TLDR
This paper presents a classification of existing spatial access methods and shows that they use one of the following three techniques: clipping, overlapping regions, and transformation, and suggests a hybrid method combining the techniques of overlapping regions and transformation. Expand
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TLDR
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