[AM8-5] Kriging variants

With a stationary stochastic process (i.e. constant mean), simple and ordinary kriging is used for interpolation. Other variants like kriging with external drift, universal kriging and regression kriging also alleviate the challenge of non-stationary mean. Other variants are co-kriging log-normal kriging, disjunctive kriging, indicator kriging, factorial kriging and universal kriging.

External resources

• Chiles, J.-P. and Delfiner, P. 1999. Geostatistics: modeling spatial uncertainty. New York: Wiley.
  ISBN number: 9780471083153
• Olea, RA
  Geostatistics for Engineers and Earth Scientists. Springer Science & Business Media; 2012. 310 p.
• Webster R, Oliver MA
  Geostatistics for Environmental Scientists. John Wiley & Sons; 2007. 333 p.

Learning outcomes

• 279 - Compare and contrast co-kriging log-normal kriging, disjunctive kriging, indicator kriging, factorial kriging and universal kriging
  Compare and contrast co-kriging log-normal kriging, disjunctive kriging, indicator kriging, factorial kriging and universal kriging
• 280 - Apply universal kriging to appropriate data sets
  Apply universal kriging to appropriate data sets
• 281 - Interpret the results of universal kriging
  Interpret the results of universal kriging

Self assessment

Outgoing relations

• [AM8-5] Kriging variants subclassof [AM8] Geostatistics

Contributors

• Rob Lemmens
  University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
  https://research.utwente.nl/en/persons/rob-lemmens