Spatial Databases

Abstract

Spatial database research has continued to advance greatly since three decades ago, addressing the growing data management and analysis needs of spatial applications. This research has produced a taxonomy of models for space, conceptual models, spatial query languages and query processing, spatial file organization and indexes, and spatial data mining. However, emerging needs for spatial database systems include the handling of 3D spatial data, temporal dimension with spatial data, and spatial data visualization. In addition, the rise of new systems such as sensor networks and multi-core processors is likely to have an impact in spatial databases. The goal of this paper is to provide a broad overview of the recent advancements in spatial databases and research needs in each area.

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Document Details

Document Type
Technical Report
Publication Date
Sep 19, 2007
Accession Number
ADA473104

Entities

People

  • James Kang
  • Shashi Shekhar
  • Vijay Gandhi

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Biomedical
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Computer Graphics
  • Computer Science
  • Computers
  • Data Mining
  • Database Management Systems
  • Databases
  • Detectors
  • Geographic Information Systems
  • Grids
  • Information Science
  • Information Systems
  • Knowledge Management
  • Language
  • Network Science
  • Three Dimensional
  • Trees (Data Structures)

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • Space