Simple Kriging Interpolation

Feature Description

  • The data used in the Simple Kriging method should conform to the assumption of a normal distribution in data variation.
  • Simple Kriging is one of the commonly used Kriging interpolation methods, which assumes that the expected value (mean) of the interpolated field is a known constant.
  • Simple Kriging assumes the sample distribution tends to be second-order stationary, meaning the variable distribution within local areas remains unchanged with spatial displacement.
  • This interpolation method is not suitable for sample data exhibiting local trends.

Feature Entry

  • Spatial Analysis Tab->Raster Analysis group->Interpolation Analysis->Simple Kriging.
  • Toolbox->Raster Analysis->Interpolation Analysis->Simple Kriging.

Parameter Description

Fixed Count: Uses a fixed number of sample points within the maximum radius for interpolation.

Fixed Radius: All points within the search radius participate in interpolation.

Rotate: Counter-clockwise rotation angle of search neighborhood relative to horizontal. Default 0°.

Mean: Default uses average of interpolation field values. Custom values can be input.

Sill: The plateau value where semivariogram stabilizes. Default 0.

Range: The distance where semivariogram reaches the sill value. Default 0.

Nugget: The Y-intercept value of semivariogram at h=0. Default 0.

For parameter relationships, see: Kriging Interpolation.

  • Set common parameters for interpolation analysis including datasource, bounds, result data and environment settings. For parameter details see: Common Parameter Description.
  • Configure sample point search methods. Supports both Fixed Count and Fixed Radius modes. For details see: Kriging Interpolation.
    • Maximum Radius: Defines search radius for Fixed Count. Default 0 indicates using maximum possible radius.
    • Search Points: Specifies the number of points for Fixed Count. Default is 12.
    • Search Radius: Defines radius size. Default is 1/5 of the longer side of dataset extent.
    • Minimum Points: Specifies minimum required points. Default is 5. The radius will expand until containing specified minimum points. Maximum allowed is 12.
  • Other Parameters: Includes semivariogram type, rotation angle, mean value, sill, range, and nugget effect.

    Semivariogram: Supports Spherical, Exponential and Gaussian models. Selection depends on spatial autocorrelation and prior knowledge. Default is Exponential.