Basic principles of spatial analysis, random fields, basic functions of spatial dependence (auto-covariance, cross-covariance, auto-correlation, variogram), concepts of stationarity, ergodicity and anisotropy, dependent random variables, multivariate models, introduction to simulation, variogram estimation from scattered spatial data, spatial estimation using Voronoi polygons, spatial interpolation (optimal estimation) using stochastic (kriging) methods, uncertainty evaluation.