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Spatial Statistics

Anotace

The course extends knowledge of spatial statistics. It contains explanation of theoretical models for dot spatial distribution, descriptive and inferentional statistical methods for main geometrical forms of representation of spatial objects with both single and multiple investigated phenomena, methods of hot/cold spot detection, spatial distribution optimization methods, methods of assessment of autocorrelation and anizotropy of spatial data, spatial regression models, multivariate techniques for spatial data and spatio-temporal methods.

Povinná literatura

ROGERSON, P. Statistical methods for geography, 5th ed. SAGE, LA, 2019. 405 s. ISBN 978-1-5264-9880-9 
GELFAND A.E., DIGGLE P.J., FUENTES M., GUTTORP P. Handbook of Spatial Statistics. Chapman & Hall/CRC, 2010.
SMITH M.J., GOODCHILD M.F., LONGLEY P.A. Geospatial Analysis. 2020. Dostupné na: http://www.spatialanalysisonline.com
WHEELER D., SHAW, G., BARR S. Statistical techniques in geographical analysis. New York, 2010. 342 s.

Doporučená literatura

LLOYD CH.: Local models for spatial analysis. CRC press. Taylor&Francis, 2011. ISBN 978-1-4398-2919-6
WALKER, J., T., MADDAN, S. Statistics In Criminology And Criminal Justice: Analysis and Interpretation. Jones & Bartlett Learning; 4 edition, 2012. 592 p. ISBN 978-1449688608 
O’SULLIVAN, D., UNWIN, D. J. Geographic Information Analysis. Wiley, 2010. 405 s.
LEE, J., WONG, D. Statistical analysis with ArcView GIS. USA, Wiley, 2001, 192 s., ISBN 0-471-34874-0 .


Language of instruction čeština, angličtina, angličtina, čeština
Code 548-0926
Abbreviation PST
Course title Spatial Statistics
Coordinating department Department of Geoinformatics
Course coordinator prof. Ing. Jiří Horák, Dr.