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Geostatistics

Summary

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.

Literature

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.

Advised literature

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.


Language of instruction čeština, angličtina
Code 548-0143
Abbreviation GS
Course title Geostatistics
Coordinating department Department of Geoinformatics
Course coordinator Ing. Lucie Orlíková, Ph.D.