Universal Kriging

Feature Description

  • Data used in Universal Kriging should conform to the prerequisite assumption of normal distribution.
  • Universal Kriging is one of the commonly used Kriging interpolation methods, assuming the expectation (mean value) of the variable represented by the interpolation field is unknown.
  • Universal Kriging assumes the existence of a dominant trend in sample data that can be fitted by a deterministic function or polynomial. When applying this method, the trend in interpolation data must be explicitly defined before conducting analysis.

Parameter Description

Parameter Default Description Type
Source Dataset   The point dataset requiring interpolation analysis DatasetVector
Field   Field storing numerical values (elevation, precipitation, etc.) for interpolation. Text-type fields are unsupported. String
Scaling Ratio 1.0 Scaling factor for interpolated field values. Multiply source data by this ratio before interpolation. Example: Ratio=2 yields raster values approximately doubled. Typically set to 1. Double
Target Datasource   Datasource for storing result dataset Datasource
Result Dataset Name   Name of the result dataset String
Pixel Format   Pixel format PixelFormat
No Value 0.0 NoData value Double
Search Method No Search Method for selecting participating points during interpolation SearchMode
Expected Points
(Optional)
0 Expected number of points participating in interpolation Integer
Search Radius
(Optional)
0.0 Radius for searching participating points Double
Maximum Search Points
(Optional)
0 Maximum points allowed in block search Integer
Maximum Points in Block
(Optional)
0 Maximum points allowed within a single block during block search Integer
Resolution 0.0 Spatial resolution of output raster (ground area per pixel), matching dataset unit. Double
Semi-Variogram Type Exponential Function Semi-variogram type for Kriging interpolation VariogramMode
Sill 0.0 Sill value Double
Range 0.0 Range value Double
Rotation Angle
(Optional)
0.0 Rotation angle in Kriging algorithm Double
Order
(Optional)
1st Order Polynomial order of trend surface equation Exponent
Nugget Effect 0.0 Nugget effect value Double
Geographic Bounds
(Optional)
  Spatial extent for interpolation analysis String

Output

Parameter Description Type
Result Dataset The raster dataset obtained from interpolation analysis DatasetGrid