Modern accelerator technologies for geographic information science

Xuan Shi, Volodymyr Kindratenko, Chaowei Yang

Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

Abstract

Geographic Information System (GIS) enables heterogeneous geospatial data integration, processing, analysis, and visualization. With a variety of software tools, GIS makes substantial contribution to the advancements of science, engineering and decision-making in geospatial-related natural and social sciences, public safety and emergency response, spatial intelligence analytics and military operations, ecological and environmental science and engineering, and public health. Geospatial data represents real-world geographic features or objects using either vector or raster data models. In the vector model, features are captured as discrete geometric objects and represented as points, lines or polygons with non-spatial attributes. In the raster model, features are represented on a grid, or as a multidimensional matrix, including satellite imagery and other remotely sensed data.

Original languageEnglish (US)
Title of host publicationModern accelerator technologies for geographic information science
PublisherSpringer US
Pages3-6
Number of pages4
Volume9781461487456
ISBN (Electronic)9781461487456
ISBN (Print)1461487447, 9781461487449
DOIs
StatePublished - Aug 1 2013

Keywords

  • GIScience
  • Modern Accelerator Technologies

ASJC Scopus subject areas

  • Computer Science(all)

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