withTileFocalMethods

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

   Definition Classes

   FocalMethods

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   Computes the convolution of the raster for the given kernl

   Definition Classes

   FocalMethods

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[java.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

    Computes the next step of Conway's Game of Life

    Definition Classes

    FocalMethods

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

    

    Computes the maximum value of a neighborhood

    Computes the maximum value of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the mean of a neighborhood

    Computes the mean of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the median of a neighborhood

    Computes the median of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the minimum value of a neighborhood

    Computes the minimum value of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the mode of a neighborhood

    Computes the mode of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the standard deviation of a neighborhood

    Computes the standard deviation of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Computes the sum of a neighborhood

    Computes the sum of a neighborhood

    Definition Classes

    FocalMethods

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

    

    Definition Classes

    AnyRef → Any

20. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

24. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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.

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

    Definition Classes

    FocalMethods

26. val self: Tile

    

    Definition Classes

    withTileFocalMethods → MethodExtensions

27. 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.

    Definition Classes

    FocalMethods

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

    

    Definition Classes

    AnyRef

29. 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.

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

    Definition Classes

    FocalMethods

30. def toString(): String

    

    Definition Classes

    AnyRef → Any

31. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )