Z8102 Geostatistics

Faculty of Science
Spring 2008 - for the purpose of the accreditation
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)
Guaranteed by
RNDr. Vladimír Herber, CSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc.
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 19 student(s).
Current registration and enrolment status: enrolled: 0/19, only registered: 0/19
fields of study / plans the course is directly associated with
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)
The course is taught annually.
The course is taught: every week.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2001, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010.