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 |