class UniversalKriging extends Kriging

Linear Supertypes
Kriging, Serializable, Serializable, (Double, Double) ⇒ (Double, Double), AnyRef, Any
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  1. UniversalKriging
  2. Kriging
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  4. Serializable
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Instance Constructors

  1. new UniversalKriging(points: Array[PointFeature[Double]], bandwidth: Double, model: ModelType)

    Overloaded constructor, for default attribute matrix generation

  2. new UniversalKriging(points: Array[PointFeature[Double]], attrFunc: (Double, Double) ⇒ Array[Double], bandwidth: Double, model: ModelType)

    points

    Sample points for Universal Kriging model training

    attrFunc

    Attribute matrix transformation for a point (which decides how the point coordinates guide the pointData's value)

    bandwidth

    The maximum inter-point pair-distances which influence the prediction

    model

    The ModelType to be used for prediction

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def absArray(arr: Array[Double]): Array[Double]

    Returns the absolute values of a given array

    Returns the absolute values of a given array

    Attributes
    protected
    Definition Classes
    Kriging
  5. def apply(x: Double, y: Double): (Double, Double)
    Definition Classes
    Kriging → Function2
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def createPredictorInit(numberOfPoints: Int): (Double, Double) ⇒ (Double, Double)

    Universal Kriging training with the sample points

    Universal Kriging training with the sample points

    numberOfPoints

    Number of points to be Kriged

    Attributes
    protected
    Definition Classes
    UniversalKriging → Kriging
  9. def curried: (Double) ⇒ (Double) ⇒ (Double, Double)
    Definition Classes
    Function2
    Annotations
    @unspecialized()
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def getPointDistancesSorted(points: Array[PointFeature[Double]], minPoints: Int, bandwidth: Double, point: Point): Array[(Int, Double)]

    Returns the indices of points close to the point for prediction within the given bandwidth

    Returns the indices of points close to the point for prediction within the given bandwidth

    Attributes
    protected
    Definition Classes
    Kriging
    Note

    In case the number of points < minPoints; it returns the closest minPoints number of points

  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. def predict(pointMatrix: Array[Point]): Array[(Double, Double)]

    Kriging Prediction for an Array of points

    Kriging Prediction for an Array of points

    pointMatrix

    Points to be Kriged

    returns

    Tuples of (krigedValues, krigedVariance) for each of the kriged points

    Definition Classes
    Kriging
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. def toString(): String
    Definition Classes
    Function2 → AnyRef → Any
  23. def tupled: ((Double, Double)) ⇒ (Double, Double)
    Definition Classes
    Function2
    Annotations
    @unspecialized()
  24. def varianceMatrixGen(sv: Semivariogram, points: Array[PointFeature[Double]]): RealMatrix
    Attributes
    protected
    Definition Classes
    Kriging
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Kriging

Inherited from Serializable

Inherited from Serializable

Inherited from (Double, Double) ⇒ (Double, Double)

Inherited from AnyRef

Inherited from Any

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