Terminated in academic year 2022/2023

Uncertainty in Geoinformatics

Type of study	Follow-up Master
Language of instruction	English
Code	548-0115/02
Abbreviation	NEGET
Course title	Uncertainty in Geoinformatics
Credits	5
Coordinating department	Department of Geoinformatics
Course coordinator	prof. Ing. Jiří Horák, Dr.

Subject syllabus

1. Definition of main concepts and ideas for understanding uncertainty in geoinformatics.
2. Error, reliability, error evaluation, sampling
3. Error propagation, Monte Carlo simulation.
4. Data quality and description, elements of data quality.
5. Standardization of data quality description, storage.
6. Organisation of data collection.
7. Sources of uncertainty and methods of description.
8. Sensitivity analysis.
9. Fuzzy set, fuzzy numbers, region, fuzzy spatial operation
10. Rough sets theory.
11. Qualitative measurements of uncertainty - Revision of belief. Multivalue logic. Endorsement theory.
12. Quantitative measurements of uncertainty - Bayes theory. Dempster-Shafer theory.
13. Validity and objectiveness.
14. Uncertainty visualization

Literature

CAERS J. Modeling uncertainty in the Earth Sciences. Wiley-Blackwell, 2011. ISBN 978-1-119-99263-9
DEVILLERS R., JEANSOULIN R. (Eds): Fundamentals of spatial data quality. London: ISTE. 2006.
SHI W. Principles of Modeling Uncertainties in Spatial Data and Spatial Analysis. CRC Press (Taylor & Francis) 2010.
WORBOYS M., DUCKHAM M. Geographic Information Systems: A Computing Perspective (2nd Edition), CRC Press, Boca Raton, Florida, 2004. ISBN 0415283752

Advised literature

CAHA, J. Uncertainty Propagation in Fuzzy Surface Analysis. PhD thesis, Palacky University in Olomouc, 2014
HEUVELINK, G.B.M., BROWN, J.D., VAN LOON, E.E. A probabilistic framework for representing and simulating uncertain environmental variables. International Journal of Geographic Information Science, 2006, 2/5, p. 497-513.
KINKELDEY, C., SENARATNE, H. Representing Uncertainty. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2018 Edition), John P. Wilson (ed.). DOI:10.22224/gistbok/2018.2.3
MASON J.S., RETCHLESS D., KLIPPEL A. Domains of uncertainty visualization research: a visual summary approach, Cartography and Geographic Information Science, 2016. DOI: 10.1080/15230406.2016.1154804

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