Universal Kriging for grid interpolation from irregular sample points.
- Grid
Output Data Object
-
- Variance
Output Data Object
-
- Points
Input Shapes
-
- Attribute
Table field
-
- Create Variance Grid
Boolean
-
- Target Grid
Choice
-
Available choices: user defined, grid system, grid
- Variogram Model
Choice
-
Available choices: Spherical Model, Exponential Model, Gaussian Model, Linear Regression, Exponential Regression, Power Function Regression
- Block Kriging
Boolean
-
- Block Size
Floating point
-
- Logarithmic Transformation
Boolean
-
- Nugget
Floating point
-
- Sill
Floating point
-
- Range
Floating point
-
- Additional Parameters
Node
-
- Linear Regression
Floating point
- Parameter B for Linear Regression:
y = Nugget + B * x
- Exponential Regression
Floating point
- Parameter B for Exponential Regression:
y = Nugget * e ^ (B * x)
- Power Function - A
Floating point
- Parameter A for Power Function Regression:
y = A * x ^ B
- Power Function - B
Floating point
- Parameter B for Power Function Regression:
y = A * x ^ B
- Grids
Input Grid list
-
- Grid Interpolation
Choice
-
Available choices: Nearest Neighbor, Bilinear Interpolation, Inverse Distance Interpolation, Bicubic Spline Interpolation, B-Spline Interpolation
- Maximum Search Radius (map units)
Floating point
-
- Min./Max. Number of m_Points
Value range
-
Minimum: 1.66248030593e-316; Maximum: 1.66243761866e-316
- Grid Size
Floating point
-
- Fit Extent
Boolean
- Automatically fits the grid to the shapes layers extent.
- X-Extent
Value range
-
Minimum: 1.66182260575e-316; Maximum: 1.66177122292e-316
- Y-Extent
Value range
-
Minimum: 1.66193643847e-316; Maximum: 1.66189849423e-316
- Grid System
Grid system
-
- Grid System
Grid system
-
- Grid
Input Grid
-
- Variance
Input Grid
-