trait FocalMethods extends MethodExtensions[Tile]

Linear Supertypes
MethodExtensions[Tile], Serializable, Serializable, AnyRef, Any
Known Subclasses
withTileFocalMethods
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Abstract Value Members

  1. abstract def self: Tile
    Definition Classes
    MethodExtensions

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def aspect(cs: CellSize, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Calculates the aspect of each cell in a raster.

    Calculates the aspect of each cell in a raster.

    cs

    cellSize of the raster

  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. def convolve(kernel: Kernel, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the convolution of the raster for the given kernl

  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. def focalConway(bounds: Option[GridBounds[Int]] = None): Tile

    Computes the next step of Conway's Game of Life

  12. def focalMax(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the maximum value of a neighborhood

  13. def focalMean(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the mean of a neighborhood

  14. def focalMedian(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the median of a neighborhood

  15. def focalMin(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the minimum value of a neighborhood

  16. def focalMode(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the mode of a neighborhood

  17. def focalStandardDeviation(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the standard deviation of a neighborhood

  18. def focalSum(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Computes the sum of a neighborhood

  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. def scalarMoransI(n: Neighborhood, bounds: Option[GridBounds[Int]] = None): Double

    Calculates global spatial autocorrelation of a raster based on the similarity to neighboring values.

  26. def slope(cs: CellSize, zFactor: Double = 1.0, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Calculates the slope of each cell in a raster.

    Calculates the slope of each cell in a raster.

    cs

    cellSize of the raster

    zFactor

    Number of map units to one elevation unit.

  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def tileMoransI(n: Neighborhood, bounds: Option[GridBounds[Int]] = None, target: TargetCell = TargetCell.All): Tile

    Calculates spatial autocorrelation of cells based on the similarity to neighboring values.

  29. def toString(): String
    Definition Classes
    AnyRef → Any
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from MethodExtensions[Tile]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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