OrdinaryKriging

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. 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

7. def apply(x: Double, y: Double): (Double, Double)

   Definition Classes

   Kriging → Function2

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. def createPredictorInit(numberOfPoints: Int): (Double, Double) ⇒ (Double, Double)

    Ordinary Kriging training with the sample points

    Ordinary Kriging training with the sample points

    numberOfPoints

    Number of points to be Kriged

    Attributes

    protected

    Definition Classes

    OrdinaryKriging → Kriging

11. def curried: (Double) ⇒ (Double) ⇒ (Double, Double)

    Definition Classes

    Function2

    Annotations

    @unspecialized()

12. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

14. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

15. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

16. 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

17. def hashCode(): Int

    Definition Classes

    AnyRef → Any

18. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20. final def notify(): Unit

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    Definition Classes

    AnyRef

22. 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

23. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

24. def toString(): String

    Definition Classes

    Function2 → AnyRef → Any

25. def tupled: ((Double, Double)) ⇒ (Double, Double)

    Definition Classes

    Function2

    Annotations

    @unspecialized()

26. def varianceMatrixGen(sv: Semivariogram, points: Array[PointFeature[Double]]): RealMatrix

    Attributes

    protected

    Definition Classes

    Kriging

27. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

28. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

29. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )