The field of multidimensional data structures is large and
growing very quickly. Here, for the first time, is a thorough
treatment of multidimensional point data, object and image-based
representations, intervals and small rectangles, and
high-dimensional datasets. The book includes a thorough
introduction; a comprehensive survey to spatial and
multidimensional data structures and algorithms; and implementation
details for the most useful data structures. Along with the
hundreds of worked exercises and hundreds of illustrations, the
result is an excellent and valuable reference tool for
professionals in many areas, including computer graphics,
databases, geographic information systems (GIS), game programming,
image processing, pattern recognition, solid modeling, similarity
retrieval, and VLSI design. Award Winner in 2006 Best Book
competition in Professional and Scholarly Publishing from the
Association of American Publishers.
Morgan Kaufmann would like to congratulate Hanan Samet on
receiving the UCGIS 2009 Research Award
Read the announcement here: http:
//www.ucgis.org/summer2009/researchaward.htm
* First comprehensive work on multidimensional data structures
available, a thorough and authoritative treatment.
* An algorithmic rather than mathematical approach, with a liberal
use of examples that allows the readers to easily see the possible
implementation and use.
* Each section includes a large number of exercises and solutions
to self-test and confirm the reader's understanding and suggest
future directions.
* Written by a well-known authority in the area of spatial data
structures who has made many significant contributions to the
field.
The author's website includes: Spatial Index Demos"
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