geotrellis.raster.op.focal

FocalMethods

trait FocalMethods extends TileMethods

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TileMethods, AnyRef, Any
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Abstract Value Members

  1. abstract val tile: Tile

    Definition Classes
    TileMethods

Concrete Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  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

    Computes the next step of Conway's Game of Life

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

    Computes the maximum value of a neighborhood

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

    Computes the mean of a neighborhood

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

    Computes the median of a neighborhood

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

    Computes the minimum value of a neighborhood

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

    Computes the mode of a neighborhood

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

    Computes the standard deviation of a neighborhood

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

    Computes the sum of a neighborhood

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

    Definition Classes
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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

    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.

    See also

    ScalarMoransICalculation

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

    Definition Classes
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  27. def tileMoransI(n: Neighborhood, bounds: Option[GridBounds] = None): 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.

    See also

    TileMoransICalculation

  28. def toString(): String

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  29. final def wait(): Unit

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

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

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Inherited from TileMethods

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