Sorting in Space: Multidimensional, spatial, and metric data structures for applications in spatial databases, geographic information systems (GIS), and location-based services

Techniques for representing multidimensional, spatial, and metric data for applications in spatial databases, geographic information systems (GIS), and location-based services are reviewed. This includes both geometric and textual representations of spatial data.

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Vydané v:2013 IEEE 29th International Conference on Data Engineering (ICDE) s. 1254 - 1257
Hlavný autor: Samet, H.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.04.2013
Predmet:
Geographic information systems
Indexes
Measurement
Octrees
Sorting
Spatial databases
ISBN:9781467349093, 1467349097
ISSN:1063-6382
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Abstract Techniques for representing multidimensional, spatial, and metric data for applications in spatial databases, geographic information systems (GIS), and location-based services are reviewed. This includes both geometric and textual representations of spatial data.
AbstractList Techniques for representing multidimensional, spatial, and metric data for applications in spatial databases, geographic information systems (GIS), and location-based services are reviewed. This includes both geometric and textual representations of spatial data.
Author Samet, H.
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StartPage 1254
SubjectTerms Geographic information systems
Indexes
Measurement
Octrees
Sorting
Spatial databases
Title Sorting in Space: Multidimensional, spatial, and metric data structures for applications in spatial databases, geographic information systems (GIS), and location-based services
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