Trait

geotrellis.raster.mapalgebra.focal

FocalMethods

Related Doc: package focal

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trait FocalMethods extends MethodExtensions[Tile]

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Abstract Value Members

  1. abstract def self: Tile

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Concrete 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. final def asInstanceOf[T0]: T0

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  5. def aspect(cs: CellSize, bounds: Option[GridBounds] = None, target: TargetCell = TargetCell.All): Tile

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    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

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  7. def convolve(kernel: Kernel, bounds: Option[GridBounds] = None, target: TargetCell = TargetCell.All): Tile

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    Computes the convolution of the raster for the given kernl

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  11. def focalConway(bounds: Option[GridBounds] = None): Tile

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    Computes the next step of Conway's Game of Life

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

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    Computes the maximum value of a neighborhood

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

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    Computes the mean of a neighborhood

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

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    Computes the median of a neighborhood

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

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    Computes the minimum value of a neighborhood

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

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    Computes the mode of a neighborhood

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

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    Computes the standard deviation of a neighborhood

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

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    Computes the sum of a neighborhood

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

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  20. def hashCode(): Int

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  21. final def isInstanceOf[T0]: Boolean

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

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. def scalarMoransI(n: Neighborhood, bounds: Option[GridBounds] = None): Double

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    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] = None, target: TargetCell = TargetCell.All): Tile

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    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

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  28. def tileMoransI(n: Neighborhood, bounds: Option[GridBounds] = None, target: TargetCell = TargetCell.All): Tile

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

  29. def toString(): String

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  30. final def wait(): Unit

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

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

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Inherited from MethodExtensions[Tile]

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