Environmental Data Analysis and Modeling

Catalog description

Description: Identification and application of various methods to analyze environmental data. Includes statistical, mathematical, and neural modeling. Emphasis on application of geostatistics to spatial environmental problems; including construction modeling semivariogram, kriging, co-kriging, and indicator kriging problems. Deterministic and stochastic simulation methods addressed, including conditional and Monte Carlo simulation with discussions of the inverse problems. More conventional statistical evaluations of environmental monitoring data including trend analysis and sampling adequacy or redundancy.