Lecture, 3 credits, 3 hours per week. Pre-requesites: Linear Algebra.This course covers various processing and analysis methods for multidimensional data in the geosciences, including multivariate description and analysis, multipoint estimation, sample variograms modeling and parameter estimation, spatial interpolation (statistical Kriging methods, Bayesian-based Kalman filter), time-series analysis (filter, regression, harmonic analysis, spectrum analysis, wavelet analysis), search strategy, cross-validation, principal component analysis and scientific visualization based on Maltab.