Choose Index below for a list of all words and phrases defined in this glossary.

Spatial Data

index | Index

Spatial Data - definitions

Spatial Data - A type of nontabular data with a spatial component that allows them to be precisely located on some base, such as the Earth. Sometimes referred to as aspatial data. Includes both Geospatial_ data and structospatial data.

[Category=Data Warehousing ]

Source:, 11 August 2010 08:28:27, External

These advertisers support this free service

spatial data - 

(1) [data structures] Information about the locations and shapes of geographic features and the relationships between them, usually stored as coordinates and topology.

(2) [data models] Any data that can be mapped.

[Category=Geospatial ]

Source: esri, 26 August 2012 09:42:17, External

spatial data - Spatial data, also known as geospatial data, is information about a physical object that can be represented by numerical values in a geographic coordinate system.

Generally speaking, spatial data represents the location, size and shape of an object on planet Earth such as a building, lake, mountain or township. Spatial data may also include attributes that provide more information about the entity that is being represented. Geographic Information Systems (GIS) or other specialized software applications can be used to access, visualize, manipulate and analyze geospatial data.

Microsoft introduced two spatial data types with SQL Server 2008: geometry and geography. Geometry types are represented as points on a planar, or flat-earth, surface. An example would be (5,2) where the first number represents that point's position on the horizontal (x) axis and the second number represents the point's position on the vertical (y) axis. Geography spatial data types, on the other hand, are represented as latitudinal and longitudinal degrees, as on Earth or other earth-like surfaces.

See also: x,y coordinates, Feature Manipulation Engine

[Category=Data Management ]

Source:, 09 September 2013 09:14:35, External  








Data Quality Glossary.  A free resource from GRC Data Intelligence. For comments, questions or feedback: