This introductory guide explains the basic concepts behind the term geospatial.
The guide covers:
- What does geospatial mean?
- Early examples of geospatial data
- Modern geospatial data
- Geospatial metadata and data management
- The real advantage of adding geospatial attributes to data.
Key messages: - Geo loosely means 'the Earth'. Spatial refers to 'in space', meaning anything that can be represented in terms of position, coordinates etc.
- Geospatial is also used to refer to the kinds of analyses you can do with the aid of computers and software-the combination of computer and software is called a Geographic Information Systems (GIS).
- Geospatial data tends to require large storage volumes and fast processors, and this is especially the case for remotely sensed data.
- The power of a geospatial 'tag' lies in its ability to make connections to other research modes, types and even to seemingly unrelated things.
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