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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.
Data held in the WDPA is made up of both 'attribute' and 'spatial' information. Attribute data refers to the characteristics of a protected area, such as its name, reported area and designation type. Spatial data is provided in the form of Geographical Information System (GIS) electronic maps, often referred to as shapefiles. These files ...
The shapefile format is a geospatial vector data format for geographic information system (GIS) software. It is developed and regulated by Esri as a mostly open specification for data interoperability among Esri and other GIS software products . [ 1 ]
GADM is not freely available for commercial use. The GADM project created the spatial data for many countries from spatial databases provided by national governments, NGO, and/or from maps and lists of names available on the Internet (e.g. from Wikipedia).
Shapefile – a popular vector data GIS format, developed by Esri; Geography Markup Language (GML) – XML based open standard (by OpenGIS) for GIS data exchange; GeoJSON – a lightweight format based on JSON, used by many open source GIS packages; GeoMedia – Intergraph's Microsoft Access based format for spatial vector storage
Spatial Data File – high-performance geodatabase format, native to MapGuide (by Autodesk) TIGER – Topologically Integrated Geographic Encoding and Referencing; Vector Product Format – National Geospatial-Intelligence Agency (NGA)'s format of vectored data for large geographic databases
The Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats (e.g. shapefile), and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.
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.