| Course Unit Code | 548-0143/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| JUR02 | Ing. Lucie Orlíková, Ph.D. |
| Summary |
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| The subject introduces a concept of spatial autocorrelation, explanation of basic geostatistical concepts (random function and regionalized variables), covariance function, computing and modelling variogram, using geostatistical interpolation methods including a stochastic simulation and nonlinear kriging methods. |
| Learning Outcomes of the Course Unit |
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| The objective is to acquaint the students with basic properties and modelling of natural objects. The main emphasis lays in explanation of fundamental principles of geostatistical methods and of their general properties, the students learn how to process data using exloratory data analysis, how is spatial autocorrelation important, select the best variogram for interpolation method, how to validate the interpolation methods. |
| Course Contents |
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1. Introduction to geostatistics. Basic concepts. Spatial autocorrelation.
2. Random Function, Regionalized Variable.
3. Global and local interpolation techniques, exact and inexact interpolator. Deterministic methods.
4. Stationarity and intrinsic hypothesis. Basic geostatistical tool for measuring spatial autocorrelation of a regionalized variable.
5. Variogram. Experimental variogram. Range and anizotropy. Regularized and deregularized semivariogram model. Covariation.
6. Trends in geostatistics - polynomial, global, local.
7. Spatially continuous data analysis. Kriging. Simple, ordinary, universal kriging.
8. Spatially continuous data analysis. Indicator kriging, probability kriging.
9. Spatially continuous data analysis. Co-kriging.
10. Cross validation approaches. Error assessment.
11. Empirical Bayesian kriging.
12. Nonlinear kriging methods.
13. Geostatistic conditional simulation. |
| Recommended or Required Reading |
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| Required Reading: |
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GRIFFITH, D. A. Spatial statistics and geostatistics. theory and applications for Geographic Information Science and Technology, 2013, London: Sage.
RIPLEY, B. D. Spatial statistics. 2004. Hoboken, NJ: Wiley-Interscience.
WEBSTER, R. a M. A. OLIVER. Geostatistics for environmental scientists. 2nd ed. Chichester: John Wiley & Sons, 2007. xii, 315. ISBN 9780470028582.
PYRCZ, M. J., DEUTSCH, C. V. Geostatistical reservoir modeling. 2014. Oxford: Oxford University Press. |
HENDL, J. Přehled statistických metod: analýza a metaanalýza dat. 4., rozš. vyd. Praha: Portál, 2012. ISBN 978-80-262-0200-4.
JEŽEK, J. Geostatistika a prostorová interpolace. V Praze: Univerzita Karlova, nakladatelství Karolinum, 2015. ISBN 978-80-246-3076-2.
LONGLEY, Paul, Michael F. GOODCHILD, D. J. MAGUIRE a David RHIND. Geografické informace: systémy a věda. Olomouc: Univerzita Palackého v Olomouci, [2016]. ISBN 978-80-244-5008-7.
WEBSTER, R. a M. A. OLIVER. Geostatistics for environmental scientists. 2nd ed. Chichester: John Wiley & Sons, 2007. xii, 315. ISBN 9780470028582. |
| Recommended Reading: |
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ISAAKS, E. H., SRIVASTAVA, R. M.Applied geostatistics. 2010. New York: Oxford University Press.
OLIVER, M. A., WEBSTER, R. Basic steps in geostatistics: The variogram and kriging. 2015. Cham: Springer.
WACKERNAGEL, H. Multivariate geostatistics: An introduction with applications. 2010. Berlin: Springer.
MONTERO, J. M., AVILÉS, G. F., MATEU, J. Spatial and spatio-temporal geostatistical modeling and kriging. 2015. Chichester: Wiley.
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HENDL, J. Kvalitativní výzkum: základní teorie, metody a aplikace. Čtvrté, přepracované a rozšířené vydání. Praha: Portál, 2016. ISBN 978-80-262-0982-9.
HORÁK, J.: Prostorová analýza dat. Ostrava 2002. http://gis.vsb.cz/pad
MONTERO, J. M., AVILÉS, G. F., MATEU, J. (2015). Spatial and spatio-temporal geostatistical modeling and kriging. Chichester: Wiley.
SCHEJBAL, Ctirad. Úvod do geostatistiky. Ostrava: VŠB-Technická univerzita, 1996. ISBN isbn80-7078-325-7.
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 33 | 17 |
| Examination | Examination | 67 (67) | 18 |
| Written part of exam | Written examination | 52 | 18 |
| Oral part of exam | Oral examination | 15 | 0 |