Advanced Mapping Techniques and Uncertainty Quantification
Learn how to generate maps combining various sources of different accuracy data and how to quantify uncertainty.
The course is delivered in 4×2-hour online training sessions over 4 consecutive days by our experienced instructors.
You only need an internet connection and headphones with a microphone.
Price for the 8 hours: 500€
Be careful: session hours are given in Paris time.
Following this course, you will know how to combine different sources of data to compute accurate maps (or cubes). You will get hints on how to account for data varying accuracy to quantify the result uncertainty at each point of the map (or cube).
Kriging with uncertain data (measurement errors)
Mapping with data and inequalities:
- Combining hard data and intervals
Mapping with sparse data
Demonstration with Isatis: Mixing certain and fuzzy data with trends
Kriging with trend: Use of the Bayesian framework for the drift:
- Kriging with Bayesian drift vs Kriging with external drift
- Practical use of a Bayesian drift
- Determining local values for kriging parameters
- Impact of the use of local parameters
- Limitation of Kriging – introduction to simulations
- Simulation techniques for continuous variables
- Use of simulations for quantifying uncertainty on a map
Demonstration with Isatis: Uncertainty calculation on a map accounting for local uncertainty on each point of an external drift
Use of simulations for Uncertainty analysis:
- Uncertainty analysis methods
- Probability and quantile maps
- Mapping uncertainty and risks
Demonstration with Isatis: Quantile maps and risk curves
Knowledge of Kriging theory and practice.