Quantitative Data Analysis for the Geosciences

Catalog description

Geoscientists cannot perform controlled experiments, and they study processes that occur over time and distance scales that cannot fit into a laboratory, leading to unusual data analysis problems. This course first covers basic statistical methods for handling and treating noisy data of this sort, then parameter estimation from incomplete and noisy measurements, then basics of time series analysis. Examples include spatial, temporal, sequential and directional problems derived from climate science, seismology, sedimentology, structural geology, geochemistry and related fields.