Environmental mapping with geostatistical interpolation methods
Gain a sound understanding of the geostatistics essential methods for environmental applications
Understand the added value of the geostatistical methods for environmental data mapping and know how to apply them. Variography and kriging techniques are presented in the case of multivariate data sets.
The ability of geostatistics to handle data that are characterised by spatial heterogeneity.
Who should attend
The course is designed for geologists, engineers and other geoscientists requiring a practical introduction to geostatistical methods and their applications.
- Introduction: what is geostatistics? The advantages of using geostatistics over existing methods.
- The foundation stone of geostatistics: quantifying the spatial behaviour via the variogram. Calculating, modeling and interpreting the directional variograms.
- Data interpolation: the theory and practice of kriging.
- Multivariate geostatistics and cokriging. Integrating multidisciplinary correlated data (remote sensing data, DTM’s or other co-factors) to improve the fi nal estimate.
- Non-stationary geostatistics: when data show a trend.
Half of the course is dedicated to practical computer exercises, using Isatis.neo in order to reinforce the previously presented theoretical notions.
For the attendees interested in applying the notions presented during the training on the their own data set, 2 additional days can be scheduled with the assistance of a senior geostatistician.
No prior knowledge of geostatistics is required. However a basic understanding of statistics is recommended.