NonLinearSemivariogram

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. def apply(pts: Array[PointFeature[Double]], maxDistanceBandwidth: Double, binMaxCount: Int, model: ModelType): Semivariogram

   
   pts

   Points to be modelled and fitted

   maxDistanceBandwidth

   the maximum inter-point distance to be captured into the empirical semivariogram used for fitting

   binMaxCount

   the maximum number of bins in the empirical variogram

   model

   The ModelType being fitted into

   returns

   Semivariogram

5. def apply(range: Double, sill: Double, model: ModelType): Semivariogram

   

6. def apply(range: Double, sill: Double, nugget: Double, model: ModelType): Semivariogram

   
   range

   Range (Flattening point) of Semivariogram

   sill

   Sill (flattening value) of Semivariogram

   nugget

   Nugget (intercept value) of Semivariogram

   model

   NonLinearModelType model to be returned

   returns

   Semivariogram

7. def apply(svParam: Array[Double], model: ModelType): Semivariogram

   

8. final def asInstanceOf[T0]: T0

   

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9. def clone(): AnyRef

   

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def explicitModel(range: Double, sill: Double, nugget: Double, model: ModelType): (Double) ⇒ Double

    
    range

    Range of Semivariogram

    sill

    Sill (flattening value) of Semivariogram

    nugget

    Nugget (intercept value) of Semivariogram

    model

    ModelType input

    returns

    Semivariogram function

13. def explicitModel(svParam: Array[Double], model: ModelType): (Double) ⇒ Double

    
    svParam

    Semivariogram parameters in Array format (range, sill, nugget) or (range, sill)

    model

    ModelType input

    returns

    Semivariogram function

14. def explicitNuggetModel(range: Double, sill: Double, model: ModelType): (Double) ⇒ Double

    

15. def explicitNuggetModel(svParam: Array[Double], model: ModelType): (Double) ⇒ Double

    

16. def finalize(): Unit

    

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

    

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18. def hashCode(): Int

    

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19. final def isInstanceOf[T0]: Boolean

    

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20. def jacobianModel(variables: Array[Double], model: ModelType): (Double) ⇒ Array[Double]

    
    variables

    The (range, sill, nugget) variable's current value being used while optimizing the function parameters

    model

    The ModelType being fitted into

    returns

    https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant

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

    

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22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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

    

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25. def toString(): String

    

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26. final def wait(): Unit

    

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

    

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

    

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