Kriging

Kriging (pronounced kree-ging) is a method of interpolation used in the field of geostatistics. It is named after the South African mining engineer Danie G. Krige.

Etymology

The term "Kriging" is derived from the name of Danie G. Krige, a South African mining engineer who developed this method in the mid-20th century to predict the distribution of minerals in mines.

Definition

Kriging is a statistical technique that allows for optimal estimation and prediction of unknown quantities based on the spatial correlation between data points. It is often used in the field of geostatistics to predict values in un-sampled areas based on the values from sampled areas.

Types of Kriging

There are several types of Kriging, including:

• Simple Kriging - Assumes a known, constant mean value across the entire field.
• Ordinary Kriging - Assumes a constant but unknown mean value.
• Universal Kriging - Assumes a known, variable mean value.
• Indicator Kriging - A non-parametric method that uses binary indicators.
• Co-Kriging - Uses multiple correlated variables to improve predictions.

Related Terms

• Interpolation
• Geostatistics
• Spatial analysis
• Spatial correlation
• Estimation theory

See Also

• Semivariogram
• Spatial autocorrelation
• Geographic information system

External links

• Medical encyclopedia article on Kriging
• Wikipedia's article - Kriging

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