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The Geographic Information Science and Technology Body of Knowledge (GISTBoK) is a reference document produced by the University Consortium for Geographic Information Science (UCGIS) as the first product of its Model Curricula project, started in 1997 by Duane Marble and a select task force, and completed in 2006 by David DiBiase and a team of editors.
Geographic information science (GIScience, GISc) or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed.
The distinction must be made between a singular geographic information system, which is a single installation of software and data for a particular use, along with associated hardware, staff, and institutions (e.g., the GIS for a particular city government); and GIS software, a general-purpose application program that is intended to be used in ...
GIS is the central tool with which to imagine – in a digital environment – different siting scenarios. In this case, GIS is seen to operate as a decision-making tool; informing the practitioners who work on the Masdar project. GIS is also being used to model some of Masdar's key infrastructural features directly.
Location information (known by the many names mentioned here) is stored in a geographic information system (GIS). There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data.
The term "location intelligence" is often used to describe the people, data and technology employed to geographically "map" information. These mapping applications like Polaris Intelligence can transform large amounts of data linked to location (e.g. POIs, demographics, geofences) into color-coded visual representations (heat maps and thematic maps of variables of interest) that make it easy ...
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A spatial data infrastructure (SDI), also called geospatial data infrastructure, [1] is a data infrastructure implementing a framework of geographic data, metadata, users and tools that are interactively connected in order to use spatial data in an efficient and flexible way.