Geo data refer to information with a spatial or geographic element (geo reference). 90% of all data can be allocated to a specific place and that's why they are geo data. The geographic reference may either display spatial data as such in form of coordinates or, in a wider sense, determine an administrative area (country, city, street). Thus, geo data describe objects that can be referenced in space on the basis of a specific position.
Information that amounts to geo data can be subdivided into geometrical data (position in form of objects), topological data (stored geographic relations), graphical shapes (signatures, labels) as well as factual data (semantic descriptions).
Geo data can be found everywhere - but how can you use them efficiently?
If you watch geo data seperatly then you assert that they just have a small acceptation for modern use case. The easy discovery of the huge amount of geo data by its corresponding metadata, the visualisation through standardized web services and the combination enable an effective use of these information. In this context you can talk about a geo data infrastructure. Through the aggregation of multiple data with spatial data chances to new interpretations are given which finally amount to good in the matter of spatial development.