• What is the geostatistical analysis?
• Explore data (why? methods: histogram, voronoi map, normal QQplot, general QQPlot, trend analysis, semivariogram/covariance cloud, crosscovariance cloud)
• Methods of interpolation (global and local, deterministic and geostatisctical, exact and inexact, nodirectional and ansotropy)
1. IDW (characteristics)
2. Global polynomial
3. Local polynomial
4. Radial Basis Functions (or spline)
5. Kridging (assumption, assessment of prediction errors)
 Ordinary, universal, simple, indicator, cokridging
• Output maps (prediction map, standard error map, quintile map, probability map)
• Cross-validation and validation
• Basic rules for good predictions
1. mean error,
2. RMS prediction error, average standard error, mean standardized error
3. RMS standardized error
4. average standard error vs RMS prediction error (=, >, <)
5. RMS standardized error (=1, <1, >1)