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Geographic information systems (GIS) play a constantly evolving role in geospatial intelligence (GEOINT) and United States national security.These technologies allow a user to efficiently manage, analyze, and produce geospatial data, to combine GEOINT with other forms of intelligence collection, and to perform highly developed analysis and visual production of geospatial data.
GIS data acquisition includes several methods for gathering spatial data into a GIS database, which can be grouped into three categories: primary data capture, the direct measurement phenomena in the field (e.g., remote sensing, the global positioning system); secondary data capture, the extraction of information from existing sources that are ...
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.
Web GIS (also known as Web-Based GIS), or Web Geographic Information Systems, are GIS that employ the World Wide Web to facilitate the storage, visualization, analysis, and distribution of spatial information over the Internet.
Geoportals are important for effective use of geographic information systems (GIS) and a key element of a spatial data infrastructure (SDI). Geographic information providers, including government agencies and commercial sources, use geoportals to publish descriptions ( geospatial metadata ) of their geographic information.
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 ...
Example logistics: For the task to find the optimal location for a warehouse in a logistics network, so-called Center of Gravity models are being used. To minimize the cost, these models use transport volume data, customer locations, cost data, etc., in order to determine the optimal location.
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