PřF:Z6101 Spatial modelling and geostat. - Course Information
Z6101 Spatial modelling and introduction to geostatistics
Faculty of ScienceSpring 2007
- Extent and Intensity
- 1/2. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
Ing. Mgr. Marie Doleželová, Ph.D. (seminar tutor) - Guaranteed by
- RNDr. Vladimír Herber, CSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc. - Timetable
- Thu 10:00–10:50 Z3,02045
- Timetable of Seminar Groups:
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15 - fields of study / plans the course is directly associated with
- Physical Geography (programme PřF, D-GR)
- Physical Geography (programme PřF, N-GK)
- Geoinformatics and Regional Development (programme PřF, B-AG)
- Geoinformatics and Sustainable Development (programme PřF, B-AG)
- Course objectives
- Overview of typical methods of cartographic modeling is presented. The course is oriented on map algebra and to the modeling of continuous fields (surfaces). Overview of basic interpolation algorithms is given with the stress on kriging. Interpolation methods are prerequisite for the modeling issues. Elements of DTM construction, classification of spatial data and selected optimization tasks are given.
- Syllabus
- 1. Presentation of spatial data in the form of continuous surfaces 2. Regular and irregular structures 3. Interpolation methods, basic elements, data sources, sampling. 4. Global and local methods of interpolation, (Thiessen polygons, IDW, splines, trend functions). 5. Geostatistical methods , kriging 6. Digital terrain model constriction, data sources, methods of visualization, DTM derivatives, hydrological modeling. 7. Map algebra 8. Local, focal, zonal and global function 9. Classification of spatial features, fuzzy sets and neural networks 10. Optimization tasks, optimal localization of features 11. Measuring of distances, cost surfaces 12. Multidimensional methods 13. Quality control, analysis of errors and their spreading
- Literature
- DEMERS, Michael N. Fundamentals of geographic information systems. New York: John Wiley & Sons, 1997, xvii, 486. ISBN 0471142840. info
- BORROUGH, P.A., McDONNELL, R.,A (1988): Principles of Geographical Information Systems. Oxford University Press, Oxford, 333s.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2007, recent)
- Permalink: https://is.muni.cz/course/sci/spring2007/Z6101