548-0115/01 – Uncertainty in Geoinformatics (NEGET)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantordoc. Ing. Jiří Horák, Dr.Subject version guarantordoc. Ing. Jiří Horák, Dr.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2016/2017Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 doc. Ing. Jiří Horák, Dr.
RUZ02 Ing. Kateřina Růžičková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 6+6

Subject aims expressed by acquired skills and competences

The objective is to explain basic concepts of uncertainty and its role during data processing and application of models, to learn how to apply suitable methods for performing spatial data analysis, to be able to integrate information from other application field with approaches recommended for control and management of uncertainty.

Teaching methods

Lectures
Tutorials

Summary

Definition and decomposition of uncertainty. Imprecision, vagueness, ambiguity. Error, reliability, measurement of reliability, error evaluation for quantitative and qualitative data. Error propagation, Monte Carlo simulation. Data quality and description, elements of data quality. Standardization of data quality description. Organisation of data collection. Sources of uncertainty and methods of description. Sensitivity analysis and MAUP problem. Fuzziness (fuzzy set, operation, fuzzy region, topological and other spatial operation). Rough sets. Qualitative measurements of uncertainty. Revision of belief. Multivalue logic. Endorsement theory. Quantitative measurements of uncertainty. Bayes theory. Dempster-Shafer theory. Validity and objectiveness. Uncertainty visualization – cartographic approaches, application, analysis and evaluation of visualization.

Compulsory literature:

Caers J.: Modeling uncertainty in the Earth Sciences. Wiley-Blackwell. 2011. ISBN 978-1-119-99263-9

Recommended 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

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No additional requirements are applied.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

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

Conditions for subject completion

Combined form (validity from: 2017/2018 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67  18
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2019/2020 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2018/2019 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2018/2019 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2017/2018 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2017/2018 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner