[DM5-1] Basics of uncertainty and its modelling

- Many geographical phenomena are not defined sharply but uncertain Uncertainty has a number of considerations: - Motivation, background, purpose - Conceptual model of uncertainty - Uncertainty of geographic phenomena (vagueness, ambiguity) - Uncertainty of measurements - Uncertainty of analysis - Uncertainty vs. data quality - Statistical models of uncertainty - Outline of Fuzzy approaches

External resources

• Förstner, Wolfgang. "Uncertainty and Projective Geometry." In Handbook of Geometric Computing, 493-534. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.
• Olde Scholtenhuis, Léon L, Den Duijn, Xander, and Zlatanova, Sisi. "Representing Geographical Uncertainties of Utility Location Data in 3D." Automation in Construction 96, no. December 2018 (2018): 483-93.
• Shaw, S.-L. (2003). Uncertainty in Geographical Information. Annals of the Association of American Geographers, 93(4), 948–949. https://doi.org/10.1111/j.1467-8306.2003.09304014_8.x

Learning outcomes

• 2269 - Deal with uncertainty aspects in modelling data

  Deal with uncertainty aspects in modelling data

Self assessment

Outgoing relations

• [DM5-1] Basics of uncertainty and its modelling subclassof [DM5] Modelling 3D, temporal and uncertain phenomena