FocalMethods

abstract def self: Tile

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def aspect(cs: CellSize, bounds: Option[GridBounds] = None): Tile

Calculates the aspect of each cell in a raster.

def clone(): AnyRef

def convolve(kernel: Kernel): Tile

Computes the convolution of the raster for the given kernl

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

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

Computes the next step of Conway's Game of Life

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

Computes the maximum value of a neighborhood

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

Computes the mean of a neighborhood

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

Computes the median of a neighborhood

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

Computes the minimum value of a neighborhood

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

Computes the mode of a neighborhood

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

Computes the standard deviation of a neighborhood

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

Computes the sum of a neighborhood

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

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

def slope(cs: CellSize, zFactor: Double = 1.0, bounds: Option[GridBounds] = None): Tile

Calculates the slope of each cell in a raster.

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

def tileMoransI(n: Neighborhood, bounds: Option[GridBounds] = None): Tile

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit