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Terminated in academic year 2022/2023

Spatial Statistics

Type of study Doctoral
Language of instruction English
Code 548-0926/02
Abbreviation PST
Course title Spatial Statistics
Credits 10
Coordinating department Department of Geoinformatics
Course coordinator prof. Ing. Jiří Horák, Dr.

Subject syllabus

1. Theoretical types of spatial distribution for events
2. Methods of descriptive statistics for events
3. Inferential statistic methods for 1 type of events (monovariate methods)
4. Inferential statistic methods for more type of events (multivariate methods)
5. Hot spots, cold spots analysis
6. Spatial distribution optimization methods, locational and allocation methods.
7. Gravity theory and application for spatial applications
8. Autocorrelation assesment and anisotropy of spatial data
9. Spatial regression techniques
10. Spatiotemporal prediction

Literature

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.

Advised literature

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 .


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