1. Methods of exploratory spatial data analysis - sampling, basic exploratory statistics. 2. Methods of exploratory spatial data analysis - data distribution, outliers, trend analysis, data transformations. 3. Methods of interpolation - basic concepts, global interpolators. 4. Methods of interpolation - local interpolators. 5. Interpolation of polygon data. 6. Structural analysis - semivariogram, variogram modeling. 7. Geostatistical methods of interpolation - Kriging, types of Kriging. 8. Geostatistical methods of interpolation - model verification. 9. Regression models - Geographically Weighted Regression. 10. Point descriptors - exploratory statistics, models of spatial distribution. 11. Spatial autocorrelation - Moran's Index, Geary's Contiguity Ratio. 12. Line and polygon descriptors - directional statistics, accessibility. 13. Student project presentation. 14. Time reserve or optional topics.
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Fotheringham, A. S., Brunsdon, Ch., Charlton, M. Geographically Weighted Regression : The Analysis of Spatially Varying Relationships. Wiley, Chichester, 2002. ISBN 978-0471496168.
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Johnston, K., Ver Hoef, J. M., Krivoruchko, K., Lucas, N. Using ArcGIS? Geostatistical Analyst. ESRI Press, 2001.
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Lloyd, Ch. D. Local models for spatial analysis. 2nd ed.. CRC Press Taylor & Francis Group, 2011. ISBN 978-1-4398-2919-6.
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Popelka. J. Geostatistika. E-learningový kurz..
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Popelka, J., Synek, V. Úvod do statistické analýzy dat. FŽP, Ústí nad Labem, 2009. ISBN 978-80-7414-117-1.
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Schejbal, C. Úvod do geostatistiky. Ostrava, 1996. ISBN 80-7078-325-7.
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