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There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data. Spatial data or spatial information is broader class of data whose geometry is relevant but it is not necessarily georeferenced, such as in computer-aided design (CAD), see geometric modeling.
Geovisualization is closely related to other visualization fields, such as scientific visualization [1] and information visualization. [2] Owing to its roots in cartography, geovisualization contributes to these other fields by way of the map metaphor, which "has been widely used to visualize non-geographic information in the domains of information visualization and domain knowledge ...
In the ISO 19101 Geographic Information Reference Model [6] and Open Geospatial Consortium (OGC) Simple Features Specification, [7] international standards that form the basis for most modern geospatial technologies, a feature is defined as "an abstraction of a real-world phenomenon", essentially the object in SDTS.
Spatial analysis confronts many fundamental issues in the definition of its objects of study, in the construction of the analytic operations to be used, in the use of computers for analysis, in the limitations and particularities of the analyses which are known, and in the presentation of analytic results.
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 ...
The earliest computer systems that represented geographic phenomena were quantitative analysis models developed during the quantitative revolution in geography in the 1950s and 1960s; these could not be called a geographic information system because they did not attempt to store geographic data in a consistent permanent structure, but were usually statistical or mathematical models.
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.
Geoinformatics is a scientific field primarily within the domains of Computer Science and technical geography. [1] [2] It focuses on the programming of applications, spatial data structures, and the analysis of objects and space-time phenomena related to the surface and underneath
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