Spatial Data Visualization
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. (SOURCE: searchsqlserver.techtarget.com)
The Spatial+ Data Visualization Group is not limited to spatial data. Check out these visualization examples of topics like: Conflict Zones, Connectivity, Environmental, Sites/Sounds/Smells of City Living, Social Media Maps, or Transportation.
Spatial+ Data Visualization Group
The mission of the Spatial+ Data Visualization Group at UM is to provide GIS and Visualization professionals, educators, enthusiasts, and other users with opportunities to exchange information and ideas, share best practices, and stay up to date with the latest tools, approaches, and more. The group meets for lunch and flash talks, followed by happy hour at designated location.