DK11 for ActiveX | TatukGIS_XDK11.TGIS_InterpolationKriging | Classes | Methods | Properties
Implementation of the ordinary Kriging interpolation method.
// C# public class TGIS_InterpolationKriging : ITGIS_InterpolationKriging, ITGIS_VectorToGridAbstractEvents { }
' VisualBasic Public Class TGIS_InterpolationKriging Implements ITGIS_InterpolationKriging Implements ITGIS_VectorToGridAbstractEvents End Class
// Oxygene type TGIS_InterpolationKriging = public class end;
Name | Visibility | Description | |
---|---|---|---|
AttachDelphiObj | public | Only for internal use of TatukGIS. _{ (Inherited from ITBaseObject) } | |
BusyEvent | public | _{ (Inherited from ITGIS_VectorToGridAbstractEvents) } | |
DelphiObj | public | Only for internal use of TatukGIS. _{ (Inherited from ITBaseObject) } | |
Generate | public | Populates a pixel (grid) layer with values resulting from computations based on the set of sample points from the vector layer. _{ (Inherited from ITGIS_VectorToGridAbstract) } | |
Name | Visibility | Description | |
---|---|---|---|
Coordinate | public | Defines which coordinate is taken as interpolation value if the interpolation is not based on an attribute field; default is Z. _{ (Inherited from ITGIS_VectorToGridAbstract)} | |
DefaultValue | public | If UseDefaultValue is true, then this value will be set for each grid cell for which the interpolated value cannot be computed. _{ (Inherited from ITGIS_VectorToGridAbstract)} | |
MaxPoints | public | The maximum number of input data points used to interpolate at each grid cell; default is 4. _{} | |
MinPoints | public | The minimum number of input data points used to interpolate at each grid cell; default is 4. _{} | |
Radius | public | Defines the distance of search for input data points for a grid cell. _{} | |
Semivariance | public | Model used for the semivariance calculation; default is power-law. _{} | |
UseDefaultValue | public | If true, then each grid cell for which the interpolated value cannot be computed will be set to DefaultValue. _{ (Inherited from ITGIS_VectorToGridAbstract)} | |
Windowed | public | If True then the windowed version of the algorithm is used; false by default. _{} | |
The Kriging interpolation method is a geostatistical technique that considers the distance and the degree of variation of the input data.
There are two different scenarios for generating a Kriging interpolated grid:
Coordinate
property to the desired optionGenerate
methodGenerate
methodCoordinate
property is neglected
The Semivariance
property defines semivariance model implementation. The default semivariance model is Power Law. The complete list of implemented semivariance models:
TGIS_SemivariancePowerLaw
TGIS_SemivarianceExponential
TGIS_SemivarianceGaussian
TGIS_SemivarianceSpherical
TGIS_SemivarianceCircular
TGIS_SemivarianceLinear
To implement an additional semivariance model, inherit from TGIS_SemivarianceAbstract
, TGIS_SemivarianceWithRange
or TGIS_SemivarianceWithSill
(depending on the type of semivariance).
Use a windowed version of the algorithm (Windowed=True
) for large datasets (thousands of points and more). For up to few hundred points, the non-windowed (full sample) algorithm is efficient enough and gives best possible results. The Radius
property is the size of the window in map units. The MinPoints/MaxPoints properties define the minimum/maximum number of sample points necessary/taken to interpolate a grid value.