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1 Definition of spatial and non-spatial data, geostatistics versus statistics
2 Introduction and review of statistics, descriptive statistics, standardization
3 Statistics and data analysis, univariate analysis, bivariate analysis, multivariate analysis, histograms and probability distributions
4 History of geostatistics, regionalized variables, semivariance analysis, autocorrelation measures
5 Variograms; Estimating variograms, spatial dependence, computing the sample variogram
6 Scales of spatial variation, anisotropy, h-Scatterplot, variogram cloud
7 Modeling variograms, Spherical model, Exponential model, Gaussian Model, Power Model, Model parameters
8 Errors in spatial data, accuracy and uncertainity.
9 Kriging, interpolation, Simple Kriging, Ordinary Kriging, Indicator Kriging
10 Block Kriging, Kriging with trend, Measurement error and the Kriging variance, smoothing
11 Cokriging, the cross-variogram, coregionalization, Cokriging equations, Cokriging variance
12 Geostatistical Simulations: Conditional Simulation, the Conditional Cumulative Distribution Function (CCDF)
13 Geostatistical Simulations: Cholesky Decomposition, Sequential Gaussian Simulation (SGS)
14 Geographic Information Systems, Remote Sensing and geostatistics |