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Geographic data and information are the subject of a number of overlapping fields of study, mainly: Geocomputation; Geographic information science. Geographic information science and technology; Geoinformatics; Geomatics; Geovisualization "Geospatial technology" may refer to any of "geomatics", "geomatics", or "geographic information technology."
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.
Geographic information systems (GIS) — a large domain that provides a variety of capabilities designed to capture, store, manipulate, analyze, manage, and present all types of geographical data — utilizes geospatial and hydrospatial analysis in a variety of contexts, operations and applications.
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 ...
Here Geospatial Intelligence, or the frequently used term GEOINT, is an intelligence discipline comprising the exploitation and analysis of geospatial data and information to describe, assess, and visually depict physical features (both natural and constructed) and geographically reference activities on the Earth.
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 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.
Under another definition, it consists of products, services and tools involved in the collection, integration and management of geographic (geospatial) data. [2] Surveying engineering was the widely used name for geomatic(s) engineering in the past.