Multidimensional access methods
ACM Computing Surveys (CSUR)
Optimizing multidimensional index trees for main memory access
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
New data structures for orthogonal range searching
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Scaling and related techniques for geometry problems
STOC '84 Proceedings of the sixteenth annual ACM symposium on Theory of computing
Data Compression
R-Trees: Theory and Applications (Advanced Information and Knowledge Processing)
R-Trees: Theory and Applications (Advanced Information and Knowledge Processing)
Geographical information retrieval
International Journal of Geographical Information Science
Succinct Orthogonal Range Search Structures on a Grid with Applications to Text Indexing
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Rank/select on dynamic compressed sequences and applications
Theoretical Computer Science
A New Point Access Method Based on Wavelet Trees
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
Interval Stabbing Problems in Small Integer Ranges
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
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In this paper we present a compact structure to index semistatic collections of MBRs that solves range queries while keeping a good trade-off between the space needed to store the index and its search efficiency. This is very relevant considering the current sizes and gaps in the memory hierarchy. Our index is based on the wavelet tree, a structure used to represent sequences, permutations, and other discrete functions in stringology. The comparison with the R*-tree and the STR R-tree (the most relevant dynamic and static versions of the R-tree) shows that our proposal needs less space to store the index while keeping competitive search performance, especially when the queries are not too selective.