Now there are two basic types of data you need to know: spatial and non-spatial data. Spatial data, also called geospatial data, is data that can be linked to a specific location on Earth. ... Non-spatial data is data that cannot be specifically traced to a specific location.

What is non-spatial data?

Non-spatial data (also called attribute or characteristic data) is that information which is independent of all geometric considerations. For example, a person's height, mass, and age are non-spatial data because they are independent of the person's location.

What is non-spatial data example?

Some examples of non-spatial data could be: Lists of reference values (such as Country codes or equipment manufacturers). Postal addresses. Aggregated features such as National Roads which store the road name and reference a set of spatial road segments.