LocalTileRDDSeqMethods

abstract def self: Traversable[RDD[(K, 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 clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def localAdd(partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localAdd: RDD[(K, Tile)]

def localMajority(n: Int = 0, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]

def localMax(partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localMax: RDD[(K, Tile)]

def localMaxN(n: Int, partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localMaxN(n: Int): RDD[(K, Tile)]

def localMean(partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localMean: RDD[(K, Tile)]

Takes the mean of the values of each cell in the set of rasters.

def localMin(partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localMin: RDD[(K, Tile)]

def localMinN(n: Int, partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localMinN(n: Int): RDD[(K, Tile)]

def localMinority(n: Int = 0, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]

def localVariety(partitioner: Option[Partitioner]): RDD[(K, Tile)]

def localVariety: RDD[(K, Tile)]

Gives the count of unique values at each location in a set of Tiles.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit