trait Kriging extends (Double, Double) ⇒ (Double, Double) with Serializable

Linear Supertypes
Serializable, Serializable, (Double, Double) ⇒ (Double, Double), AnyRef, Any
Known Subclasses
GeoKriging, OrdinaryKriging, SimpleKriging, UniversalKriging
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Kriging
  2. Serializable
  3. Serializable
  4. Function2
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def createPredictorInit(numberOfPoints: Int): (Double, Double) ⇒ (Double, Double)
    Attributes
    protected

Concrete 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
  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 curried: (Double) ⇒ (Double) ⇒ (Double, Double)
    Definition Classes
    Function2
    Annotations
    @unspecialized()
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. 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
    Note

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

  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. 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

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

Inherited from Serializable

Inherited from Serializable

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

Inherited from AnyRef

Inherited from Any

Ungrouped