[AM8-4] Principles of kriging

Predicting an observation in the presence of spatially dependent observations is termed Kriging, named after the first practitioner of these procedures, the South African mining engineer Daan Krige, who did much of his early empirical work in the Witwatersrand gold mines.

External resources

• ITC (2013) The Core of GIScience: A Process-based Approach. ITC educational textbook series. 524 pages. ISSN 1567-5777. ISBN 978-90-3653-719-3.

Skills

• 271 - Describe the relationship between the semi-variogram and kriging
  Describe the relationship between the semi-variogram and kriging
• 272 - Explain why kriging is more suitable as an interpolation method in some applications than others
  Explain why kriging is more suitable as an interpolation method in some applications than others
• 273 - Explain why it is important to have a good model of the semi-variogram in kriging
  Explain why it is important to have a good model of the semi-variogram in kriging
• 274 - Explain the concept of the kriging variance, and describe some of its shortcomings
  Explain the concept of the kriging variance, and describe some of its shortcomings
• 275 - Explain how block-kriging and its variants can be used to combine data sets with different spatial resolution support
  Explain how block-kriging and its variants can be used to combine data sets with different spatial resolution support
• 276 - Compare block-kriging with areal interpolation using proportional area weighting and dasymetric mapping
  Compare block-kriging with areal interpolation using proportional area weighting and dasymetric mapping
• 277 - Outline the basic kriging equations in their matrix formulation
  Outline the basic kriging equations in their matrix formulation
• 278 - Conduct a spatial interpolation process using kriging from data description to final error map
  Conduct a spatial interpolation process using kriging from data description to final error map

Status

Outgoing relations

• [AM8-4] Principles of kriging is subconcept of [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