trait FocalMethods extends MethodExtensions[Tile]

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

  1. abstract def self: Tile
    Definition Classes
    MethodExtensions

Concrete Value Members

  1. 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

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

    Computes the convolution of the raster for the given kernl

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

    Computes the next step of Conway's Game of Life

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

    Computes the maximum value of a neighborhood

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

    Computes the mean of a neighborhood

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

    Computes the median of a neighborhood

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

    Computes the minimum value of a neighborhood

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

    Computes the mode of a neighborhood

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

    Computes the standard deviation of a neighborhood

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

    Computes the sum of a neighborhood

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

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

  12. 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.

  13. 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.