Mean

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

def +(other: String): String

def ->[B](y: B): (Mean, B)

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def _run(context: Context): StepOutput[Raster]

var analysisAreaOp: Operation[Option[RasterExtent]]

final def asInstanceOf[T0]: T0

def canEqual(other: Any): Boolean

def clone(): AnyRef

val debug: Boolean

def dispatch(dispatcher: ActorRef): DispatchedOperation[Raster]

def ensuring(cond: (Mean) ⇒ Boolean, msg: ⇒ Any): Mean

def ensuring(cond: (Mean) ⇒ Boolean): Mean

def ensuring(cond: Boolean, msg: ⇒ Any): Mean

def ensuring(cond: Boolean): Mean

final def eq(arg0: AnyRef): Boolean

def filter(f: (Raster) ⇒ Boolean): Operation[Raster]

def finalize(): Unit

def flatMap[U](f: (Raster) ⇒ Operation[U]): Operation[U]

Create a new operation with a function that takes the result of this operation and returns a new operation.

def foreach[U](f: (Raster) ⇒ U): Unit

Create an operation that applies the function f to the result of this operation, but returns nothing.

def formatted(fmtstr: String): String

def getCalculation(r: Raster, n: Neighborhood): FocalCalculation[Raster] with Initialization

Gets a calculation to be used with this focal operation for the given raster neighborhood.

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

def makeClone(): Mean

def map[U](f: (Raster) ⇒ U): Operation[U]

Create a new operation that returns the result of the provided function that takes this operation's result as its argument.

val n: Op[Neighborhood]

Neighborhood to use for this operation (e.

def name: String

Return operation identified (class simple name).

final def ne(arg0: AnyRef): Boolean

val nextSteps: PartialFunction[Any, StepOutput[Raster]]

final def notify(): Unit

final def notifyAll(): Unit

def processNextSteps(args: Args): StepOutput[Raster]

def productArity: Int

def productElement(n: Int): Any

def productIterator: Iterator[Any]

def productPrefix: String

val r: Op[Raster]

Raster on which to run the focal operation.

def run(context: Context): StepOutput[Raster]

Execute this operation and return the result.

def runAsync(args: Args): StepOutput[Raster]

def setAnalysisArea(op: Operation[Option[RasterExtent]]): Mean

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withResult[U](f: (Raster) ⇒ Operation[U]): Operation[U]

Create a new operation with a function that takes the result of this operation and returns a new operation.

def →[B](y: B): (Mean, B)

def canEqual(that: Any): Boolean

val debug: Boolean

def dispatch(dispatcher: ActorRef): DispatchedOperation[Mean]

def filter(f: (Mean) ⇒ Boolean): Operation[Mean]

def flatMap[U](f: (Mean) ⇒ Operation[U]): Operation[U]

Create a new operation with a function that takes the result of this operation and returns a new operation.

def foreach[U](f: (Mean) ⇒ U): Unit

Create an operation that applies the function f to the result of this operation, but returns nothing.

def map[U](f: (Mean) ⇒ U): Operation[U]

Create a new operation that returns the result of the provided function that takes this operation's result as its argument.

def name: String

Return operation identified (class simple name).

val nextSteps: PartialFunction[Any, StepOutput[Mean]]

def processNextSteps(args: List[Any]): StepOutput[Mean]

def productArity: Int

def productElement(n: Int): Any

def run(context: Context): StepOutput[Mean]

Execute this operation and return the result.

def runAsync(args: List[Any]): StepOutput[Mean]

val self: Any

val self: Any

def withResult[U](f: (Mean) ⇒ Operation[U]): Operation[U]

Create a new operation with a function that takes the result of this operation and returns a new operation.

def x: Mean

def x: Mean