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implicit class withTileFocalMethods extends FocalMethods

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  1. withTileFocalMethods
  2. FocalMethods
  3. MethodExtensions
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Instance Constructors

  1. new withTileFocalMethods(self: Tile)

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

    Definition Classes
    FocalMethods
  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

    Computes the convolution of the raster for the given kernl

    Definition Classes
    FocalMethods
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  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.

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

    Definition Classes
    FocalMethods
  12. val self: Tile
    Definition Classes
    withTileFocalMethodsMethodExtensions
  13. 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
  14. 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