
geotrellis.spark.mapalgebra.local.PowTileRDDMethods.scala Maven / Gradle / Ivy
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GeoTrellis is an open source geographic data processing engine for high performance applications.
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package geotrellis.spark.mapalgebra.local
import geotrellis.raster._
import geotrellis.spark._
import geotrellis.spark.mapalgebra._
import geotrellis.raster.mapalgebra.local.Pow
import org.apache.spark.Partitioner
import org.apache.spark.rdd.RDD
trait PowTileRDDMethods[K] extends TileRDDMethods[K] {
/** Pow each value of the raster by a constant value.*/
def localPow(i: Int) =
self.mapValues { r => Pow(r, i) }
/** Pow each value of the raster by a constant value.*/
def **(i:Int) = localPow(i)
/** Pow a constant value by each cell value.*/
def localPowValue(i: Int) =
self.mapValues { r => Pow(i, r) }
/** Pow a constant value by each cell value.*/
def **:(i:Int) = localPowValue(i)
/** Pow each value of a raster by a double constant value.*/
def localPow(d: Double) =
self.mapValues { r => Pow(r, d) }
/** Pow each value of a raster by a double constant value.*/
def **(d:Double) = localPow(d)
/** Pow a double constant value by each cell value.*/
def localPowValue(d: Double) =
self.mapValues { r => Pow(d, r) }
/** Pow a double constant value by each cell value.*/
def **:(d: Double) = localPowValue(d)
/** Pow the values of each cell in each raster. */
def localPow(other: RDD[(K, Tile)]): RDD[(K, Tile)] = localPow(other, None)
def localPow(other: RDD[(K, Tile)], partitioner: Option[Partitioner]): RDD[(K, Tile)] =
self.combineValues(other, partitioner)(Pow.apply)
/** Pow the values of each cell in each raster. */
def **(other: RDD[(K, Tile)]): RDD[(K, Tile)] = localPow(other, None)
/** Pow the values of each cell in each raster. */
def localPow(others: Traversable[RDD[(K, Tile)]], partitioner: Option[Partitioner]): RDD[(K, Tile)] =
self.combineValues(others, partitioner)(Pow.apply)
/** Pow the values of each cell in each raster. */
def **(others: Traversable[RDD[(K, Tile)]]): RDD[(K, Tile)] = localPow(others, None)
}
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