Selecting a Representation for Spatial Vagueness - A Decision Making Approach

Humayun Mohammed Imaduddin, Schwering Angela

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

Representing vague places is a challenge in information systems. There are several approaches, each differing in aspects such as the underlying assump- tions they make about space, their data models and reasoning abilities. Despite this there is no general solution and the question of which method to select is a matter of fitness for purpose. So far no methodology exists to support choosing the appropriate representation for a given problem. A formal decision making approach is presented here to select a suitable modelling technique to represent vague places. To do this, the criteria on the basis of which the decision is made are derived first. Commonly used methods to model spatial vagueness and uncertainty are then analyzed on the basis of these criteria. Finally, we describe a methodology that uses the analytic hierarchy process, in order to provide a quantitative ranking of candidate methods in their order of suitability for an application scenario.

Details zur Publikation

Herausgeber*innenVandenbroucke Danny, Bucher Bénédicte, Crompvoets Joep
BuchtitelGeographic Information Science at the Heart of Europe
Seitenbereich115-131
StatusVeröffentlicht
Veröffentlichungsjahr2013
Sprache, in der die Publikation verfasst istEnglisch
Konferenz16th AGILE Conference on Geographic Information Science, Leuven, Belgium, undefined
ISBN978-3-319-00614-7
DOI10.1007/978-3-319-00615-4
Link zum Volltexthttp://ifgi.uni-muenster.de/~humayun/files/Selecting_a_Representation_for_Spatial_Vagueness.pdf

Autor*innen der Universität Münster

Humayun, Mohammed Imaduddin
Institut für Geoinformatik (ifgi)
Schwering, Angela
Professur für Geoinformatik (Prof. Schwering) (SIL)