In statistics, originally in geostatistics, kriging or Kriging (/ ˈkriːɡɪŋ /), also known as Gaussian process regression, is a method of interpolation based on Gaussian process governed by prior …

Kriging is an advanced geostatistical procedure that generates an estimated surface from a scattered set of points with z-values.

Jun 13, 2025 · Kriging is a powerful geostatistical method used for interpolating the value of a continuous attribute at unsampled locations based on the values of the attribute at sampled …

Named after Danie Krige, Kriging is a method of spatial interpolation that originated in mining geology. Learn more about the process and see examples.

Kriging (Matheron 1963) is a spatial interpolation method used to obtain predictions at unsampled locations based on observed geostatistical data. This method originated in the field of mining …

What is kriging? Kriging is the optimal interpolation method if the data meets certain conditions. What are these conditions? Normally distributed Stationary No trends

Jul 20, 2025 · What is Kriging (in simple words)? Kriging is a statistical interpolation method used to estimate the value of a variable (like gold grade, copper concentration, etc.) at unsampled …

Kriging is a statistical method for estimating the underlying distribution of a spatial field based on a set of sampled data points. It is commonly used in geostatistics, environmental modeling, and …

This process is known as 'kriging'. The basic technique "ordinary kriging" uses a weighted average of neighbouring samples to estimate the 'unknown' value at a given location.

Kriging is a method of spatial interpolation which allows one to generate an estimated surface model from the z-value of a scattered set of data points.