Kriging

From WikiMD.org
Jump to navigation Jump to search

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

See Also

External links

Esculaap.svg

This WikiMD dictionary article is a stub. You can help make it a full article.


Languages: - East Asian 中文, 日本, 한국어, South Asian हिन्दी, Urdu, বাংলা, తెలుగు, தமிழ், ಕನ್ನಡ,
Southeast Asian Indonesian, Vietnamese, Thai, မြန်မာဘာသာ, European español, Deutsch, français, русский, português do Brasil, Italian, polski