ErSE 253 Data Analysis in Geosciences

Prerequisite: Background in linear algebra, probability theory, statistics; programming in MATLAB. Time series (filtering, correlation, deconvolution, spectral analysis, regression), processing of multidimensional data, spatial statistics including variogram, covariance analysis and modelling, multipoint estimation, spatial interpolation including statistical methods (kriging) and dynamical methods (Kalman filter), uncertainty assessment, cross validation, multivariate analysis including principal component analysis and canonical analysis.