Risk Analysis: The Geostatistical Approach with Isatis
Learn the state-of-the-art in conditional simulations and uncertainty assessment
To provide an in-depth review of the diff erent simulation methods applicable to uncertainty assessment in diff erent application fi elds such as soil and water pollutants, soil science, hydrogeology, oceanography, fi sheries and civil engineering.
Most commonly used simulation methods will be presented, from the sequential methods (SGS, SIS) to the turning bands. The pros and cons of the different techniques will be discussed with particular attention being paid to their applicability to environmental data. Half of the course time is devoted to computer exercises, using Isatis softwarepackage in order to reinforce the presented theoretical notions.
Who should attend
The course is designed for geologists, engineers and other geoscientists involved in risk analysis and who wish to improve the management of the available natural resources.
- Introduction: review of the fundamentals required in order to perfom geostatistical simulations – variography and kriging or cokriging.
- Why we need simulations: sensitivity of the sample statistics limitations of kriging, risk quantifi cation.
- General overview of simulation methods for both continuous and categorical variables.
- Result interpretation: histograms, quantile plots and isoprobability maps.