1. Methods of exploratory spatial data analysis. Basic terminology. Sampling. Geostatistical measures of location. Geostatistical measures of variability. Geostatistical measures of shape. 2. Methods of exploratory spatial data analysis. Data distribution (normality). Data transformation. Global and local outliers. Clusters (Moran?s I, Geary?s c, Gettis-Ord G, Hot-Spot analysis, Z-Score). Trend analysis, 3. Spatial interpolation. Basic concepts. Nearest Neighbor. Natural Neighbor. Triangulated irregular network (TIN). Global polynomial interpolation. Local polynomial interpolation. Geographically weighted mean interpolation. Geographically weighted median interpolation. Inverse distance weighted interpolation (IDW). Spline interpolation. Radial basis functions interpolation (RBF). 4. Structural analysis. Semivariogram. Theoretical models of semivariogram. Anisothropy. Geostatistical methods of interpolation. Kriging. Types of Kriging (Ordinary Kriging, Indicator Kriging, Simple Kriging, Probability Kriging, Co-Kriging). Model verification. Comparison of alternative models.
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