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The origin of the geodatabase was in the mid-1990s during the emergence of the first spatial databases.One early approach to integrating relational databases and GIS was the use of server middleware, a third-party program that stores the spatial data in database tables in a custom format, and translates it dynamically into a logical model that can be understood by the client software.
The second major functionality extension in a spatial database is the addition of spatial capabilities to the query language (e.g., SQL); these give the spatial database the same query, analysis, and manipulation operations that are available in traditional GIS software. In most relational database management systems, this functionality is ...
This is a list of GIS data sources (including some geoportals) that provide information sets that can be used in geographic information systems (GIS) and spatial databases for purposes of geospatial analysis and cartographic mapping. This list categorizes the sources of interest.
An extension to an existing database software program (most commonly, an object-relational database management system) that creates a geometry datatype, enabling spatial data to be stored in a column in a table, but also provides new functions to query languages such as SQL that include many of the management and analysis functions of GIS. This ...
In the georelational model, these are stored as separate files: a geometry file that is usually custom-designed by a software developer for use in a particular program, and an attribute table that follows relational database principles; often, the latter is adopted directly from an existing relational database management system software.
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.
Because the world is much more complex than can be represented in a computer, all geospatial data are incomplete approximations of the world. [9] Thus, most geospatial data models encode some form of strategy for collecting a finite sample of an often infinite domain, and a structure to organize the sample in such a way as to enable interpolation of the nature of the unsampled portion.
[1] [2] It is also called geospatial data and information, [citation needed] georeferenced data and information, [citation needed] as well as geodata and geoinformation. [ citation needed ] Location information (known by the many names mentioned here) is stored in a geographic information system (GIS).
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