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An abstract model of three-dimensional spatial data types
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Source Geographic Information Systems archive
Proceedings of the 12th annual ACM international workshop on Geographic information systems table of contents
Washington DC, USA
SESSION: Data modeling and security table of contents
Pages: 67 - 72  
Year of Publication: 2004
ISBN:1-58113-979-9
Authors
Markus Schneider  University of Florida, Gainesville, FL
Brian E. Weinrich  University of Florida, Gainesville, FL
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Although spatial objects of our world have an intrinsic three-dimensional (3D) nature, <i>3D data modeling</i> and <i>3D data management</i> have so far been neglected in spatial database systems and Geographical Information Systems, which map geometric data mainly to two-dimensional abstractions. But increasingly the third dimension becomes more and more relevant for application domains like pollution control, water supply, soil engineering, urban planning, and aviation. Large volumes of 3D data require a treatment in a database context for representing, querying, and manipulating them efficiently. This paper aims at investigating the complex inherent features of 3D data and presents an abstract, formal data model called <i>SPAL3D</i> <i>Spatial Algebra 3D</i>). The data model comprises a set of <i>three-dimensional spatial data types</i> together with a collection of geometric set operations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Zlatanova and K. Tempfli. Data Structuring and Visualization of 3D Urban Data. Int. Conf. of the Association of Geographic Laboratories in Europe, 1998.


Collaborative Colleagues:
Markus Schneider: colleagues
Brian E. Weinrich: colleagues