PřF:Z8102 Geostatistics - Course Information
Z8102 Geostatistics
Faculty of ScienceSpring 2005
- Extent and Intensity
- 1/2. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
Mgr. Karel Staněk, Ph.D. (lecturer) - Guaranteed by
- RNDr. Vladimír Herber, CSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc. - Timetable
- Mon 11:00–11:50 Z1
- 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.
- fields of study / plans the course is directly associated with
- Geographical Cartography and Geoinformatics (programme PřF, N-GK)
- Geography and Cartography (programme PřF, M-GR, specialization Cartography and Geoinformatics)
- Geography and Cartography (programme PřF, N-GR, specialization Cartography and Geoinformatics)
- Geoinformatics and Regional Development (programme PřF, B-AG)
- Geoinformatics and Sustainable Development (programme PřF, B-AG)
- Course objectives
- Concept of spatial autocorrelation, ouantitative description of point, line and areal patterns, Moran and Geary indices. Indices of landscape pattern. Basic principles of interpolation - construction of continuous fields, data sources, sampling, main kinds of interpolators and the overview of the most used ones(Thiessen polygons, IDW, splines, trends. Concept of kriging and geostatistical methods of interpolation. Classification, introduction to multidimensional methods, fuzzy logic and neural networks
- Syllabus
- 1. Concept of spatial autocorrelation 2. Point descriptors 3. Quantitative description of point patterns, quadrat analysis, nearest neighbor analysis, Moran and Geary indices 4. Quantitative description of line patterns, line descriptors, directional statistics, introduction to statistical description of networks 5. Quantitative description of areal patterns, spatial weights matrices, Joint Count Statistics, Moran and Geary indices. 6. Indices of landscape pattern 7. Basic principles of interpolation - construction of continuous fields, data sources, sampling 8. Global and local, exact and non-exact interpolators 9. Overview of the most used interpolators (Thiessen polygons, IDW, splines, trends) 10. Kriging and geostatistical methods of interpolation 11. Classification, introduction to multidimensional methods, fuzzy logic and neural networks
- Literature
- LEE, Jay and David W. S. WONG. Statistical analysis with arcview GIS. New York: John Wiley & Sons, 2000, xi, 192. ISBN 0471348740. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
- Listed among pre-requisites of other courses
- Enrolment Statistics (Spring 2005, recent)
- Permalink: https://is.muni.cz/course/sci/spring2005/Z8102