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> Study at Ense3 > Double degrees > E3-STU-COURSES
Spatial and space-time statistics for data assimilation, optimal interpolation and network design, mapping, image processing , and simulation in geophysical models.
Contact Isabella TOMASINOIntroduction: random processes in 1, 2 or 3 D (aquifer level, pollutant concentrations in soils, precipitation fields, regionalization of parameters...)
Simple and ordinary Kriging in covariance and variogram.
Structural analyses of random processes. Mono- or multi-realisation contexts. Anisotropy, stationarity, trend and drift analysis. Mapping, network design.
Extension of kriging: uncertain data, indicator kriging, cokriging (multivariable). Estimation of domain averaged values.
Stochastic simulations: generation of random fields with specified statistical structure. Marginal and conditional simulations.
Examples of application in hydro-meteorology, groundwater and oil exploration studies.
Probability and statistics, engineering hydrology
Written examination (2 hours)
Saaks E.H., Srivastava R.M. An introduction to applied geostatistics.
Oxford University Press, 1989
Webster R., Oliver M. Geostatistics for environmental scientists. John Wiley ed, 2nd ed., 2007
OBLED Ch. Cours polycopié de Géostatistique appliqué à l'Hydrologie . Ecole Nationale Supérieure d'Hydraulique et de Mécanique de Grenoble - Edition 2006
