Geographic Visualisation in a sector planning aspect

Geographic Visualisation in a sector planning aspect

– How to extract knowledge from large datasets


• Samo Olsen, Cand. Scient., Consultant • National Agency for Enterprise and Housing• Serving the minister and the parliament• Administering six national dataregistries

containing real estate related data (WWW.OIS.dk)


• Introduction • The concept ”Geographic Visualisation”• Examples of ”Geographic Visualisation”


”(…) one notes that ”information” has become synonymous with ”knowledge”, as if there were no significant distinction between the two (…)”

[Theodore Roszak – The Cult of Information]


• Data is hard, factual information often in numerical form - it can tell you when, and how often something happened, how much it cost and so on but it does not say why it happened.

• Information comes in the form of a message - and it is the receiver rather than the sender of the message who determines that it is information - through some communication channel whether voice, e-mail, letter, etc. It is different from data in that it has meaning or shape. In fact, data can be transformed into information with the addition of meaning.

• Knowledge transcends both data and information in a number of ways.

[Davenport & Prusak - Working Knowledge]


• Geographic Visualisation as a method for obtaining knowledge and insight in a subject (demographic geodata, real estate ect)

• Preliminary exploration in data, before setting up a statistical model

• Using it for communicating information


[MacEachren - Map use cube] [DiBiase – Explorative data analysis]

Geographic Visualisation in a sector planning aspect

Documents

Transcript of Geographic Visualisation in a sector planning aspect